CN102546965B

CN102546965B - Voice business quality correlation analysis method, device and system

Info

Publication number: CN102546965B
Application number: CN201210008523.1A
Authority: CN
Inventors: 陈宇山
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2012-01-11
Filing date: 2012-01-11
Publication date: 2014-09-17
Anticipated expiration: 2032-01-11
Also published as: CN102546965A

Abstract

The embodiment of the invention provides a voice business quality correlation analysis method, a device and a system. The method comprises the following steps of: obtaining first original voice measurement data of an object to be analyzed; carrying out statistical analysis of data according to the obtained first original voice measurement data, and obtaining data of various voice indexes, wherein the voice indexes comprise key performance indexes KPI and key quality indexes KQI; and displaying the data of the voice indexes and a trend curve of the voice indexes generated by the data of the voice indexes, and carrying out correlation analysis of the voice indexes according to display results. By adopting the technical scheme for correlation analysis of the voice indexes to obtain KPI affecting KQI, the relationship between KPI and KQI can be made clear, and the influence of KPI on the perception of users and the degree of influence can be analyzed conveniently.

Description

Voice business quality correlation analysis method, Apparatus and system

Technical field

The present invention relates to mobile communication technology, relate in particular to a kind of voice business quality correlation analysis method, Apparatus and system.

Background technology

Certain operator investigates certain annual user's satisfaction and finds, voice service and data service are respectively 89% and 11% to the influence power of network quality satisfaction, and affect in the key factor of user satisfaction in voice service, voice service quality proportion is the highest, can reach 28%.But, Key Performance Indicator (the Key Performance Indicator of network at present, KPI) Key Quality Indicator (Key Quality Indicator, KQI) be very excellent, why have numerous users' complaint? the analysis found that, mainly that cannot specify user awareness is the impact that is subject to which KPI because the relation between Key Quality Indicator (Key Quality Indicator, KQI) and the KPI of sign user awareness is uncertain.

At present, the analysis of operator to network, in spatial granularity, there is the statistics of whole distract (such as city), region (for example office, commercial center etc.), minimum (cell) rank to community, sometimes analyze in time, week is analyzed, month analyze etc., has the KPI on a period of time analyzes to single object, multiple different objects are gone up KPI at one time lateral comparison analysis etc. in dimension analyzing.In the time testing, first test macro specifies the object that will measure, quality index, the measurement period etc. that measure to create measurement task, then carries out measurement task and completes measurement stores it.In the time of analysis to measure result, first user will input the object that will inquire about, the querying condition such as quality index, measurement period that will inquire about, and then test macro is presented at each quality index of this object inquiring respectively on a data list or a datagram and offers user.

Because the unit between various KPI and the KQI relevant from voice service quality, user awareness is different, and the span difference of each KPI and KQI is also very large, current this display mode can not be carried out the association analysis of various KPI and KQI effectively, thereby cannot accurately find out the affect relation of KPI on user awareness (or KQI).

Summary of the invention

The invention provides a kind of voice service quality conjoint analysis method, Apparatus and system, in order to KPI and KQI are carried out to Conjoint Analysis, obtain the impact of KPI on user awareness.

The invention provides a kind of voice service quality conjoint analysis method, comprising:

Obtain the first original speech measurement data of analytic target;

Carry out data statistic analysis according to the first obtained original speech measurement data, obtain the data of every speech index, described every speech index comprises Key Performance Indicator KPI and Key Quality Indicator KQI;

The trend curve of the described every speech index that simultaneously shows the data of described every speech index and generated by the data of described every speech index, according to showing that result carries out association analysis to described every speech index.

The invention provides a kind of voice service quality joint analysis device, comprising:

The first acquisition module, for obtaining the first original speech measurement data of analytic target;

The second acquisition module, for carrying out data statistic analysis according to the first obtained original speech measurement data, obtains the data of every speech index, and described every speech index comprises Key Performance Indicator KPI and Key Quality Indicator KQI;

Display analysis module, for the trend curve of described every speech index of showing the data of described every speech index and generated by the data of described every speech index simultaneously, according to showing that result carries out association analysis to described every speech index.

The invention provides a kind of voice service quality Conjoint Analysis system, comprising: be deployed in testing probe and arbitrary voice service quality joint analysis device provided by the invention under measured zone and business network element.

Voice service quality conjoint analysis method provided by the invention, Apparatus and system, after obtaining the original speech measurement data of analytic target, carry out data statistic analysis according to the original speech measurement data of obtaining, obtain the data of the every speech index that comprises KPI and KQI, then show the trend curve of data and every speech index of every speech index simultaneously, according to showing result, every speech index is carried out to association analysis, compared with the data of each speech index in prior art or the scheme of the independent demonstration of curve chart analysis separately, be convenient to obtain the influential speech index to MOS from every speech index, make the relation of KPI and KQI clear, be convenient to analyze impact and the influence degree that various KPI bring user awareness.

Brief description of the drawings

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

The flow chart of the voice service quality conjoint analysis method that Fig. 1 provides for one embodiment of the invention;

The flow chart of the voice service quality conjoint analysis method that Fig. 2 provides for another embodiment of the present invention;

Fig. 3 shows when providing for another embodiment of the present invention that the one of tendency chart and data form shows result schematic diagram;

The flow chart of the voice service quality conjoint analysis method that Fig. 4 provides for further embodiment of this invention;

The structural representation of the speech service quality joint analysis device that Fig. 5 provides for one embodiment of the invention;

The structural representation of the speech service quality joint analysis device that Fig. 6 provides for another embodiment of the present invention;

The structural representation of the voice service quality Conjoint Analysis system that Fig. 7 provides for one embodiment of the invention.

Embodiment

For making object, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

The flow chart of the voice service quality conjoint analysis method that Fig. 1 provides for one embodiment of the invention.As shown in Figure 1, the method for the present embodiment comprises:

Step 101, obtain the first original speech measurement data of analytic target.

Wherein, analytic target can be city, region, user or service link.Analytic target can be determined by user.In the present embodiment, in the time that analytic target is tested, the data in test process (being original speech measurement data) can be stored, so that analytic target is carried out to statistical analysis in the later stage.In the present embodiment, not limiting the test mode to analytic target, for example, can be period measuring, can be also real-time testing.Wherein, cycle, cycle, month cycle etc. when the cycle of period measuring can be, but be not limited to this, the cycle of period measuring can be according to practical application scene self-defining.

Voice service quality joint analysis device obtains in the original speech measurement data of this analytic target pre-stored in test process, obtains the first original speech measurement data of this analytic target.The first original speech measurement data is part or all in original speech measurement data.

Step 102, carry out data statistic analysis according to the first obtained original speech measurement data, obtain the data of every speech index.

Wherein, every speech index comprises common KPI and KQI.For example, KQI can comprise the index that any industry is general, for example MOS.KPI can comprise the index that any industry is general, such as testing cross-talk rate, testing noise rate, testing single-pass rate, testing cutting off rate, testing call completing rate or testing signal strength signal intensity etc.Wherein, the data of speech index mainly comprise the desired value of speech index on each time point.For example, the call completing rate value of testing call completing rate on July 7th, 2011 17:00 time point is 0.7, and the call completing rate value on July 7th, 2011 18:00 time point is 90%, etc.

Wherein, the statistical analysis technique using can be average statistics analytical method, but is not limited to this.

Step 103, show the data of every speech index and the trend curve of every speech index of being generated by the data of every speech index, according to showing that result carries out association analysis to every speech index simultaneously.

Voice service quality joint analysis device obtains after the data of every speech index, can draw the trend curve of every speech index, then show data and the trend curve of every speech index simultaneously, then according to demonstration result, every speech index is carried out to association analysis.

In the present embodiment, every speech index comprises KPI and KQI, can get influential each KPI to KQI by association analysis, makes the relation of KPI and KQI clear, is convenient to analyze impact and the influence degree of various KPI on user awareness.

The flow chart of the voice service quality conjoint analysis method that Fig. 2 provides for another embodiment of the present invention.As shown in Figure 2, the method for the present embodiment comprises:

Step 201, acceptance division are deployed in the original speech measurement data measuring in real time that the testing probe under measured zone and business network element sends, and the original speech measurement data receiving is stored in database.

In the present embodiment, in advance operator pay close attention to region or under network elements at different levels, dispose testing probe.Wherein, testing probe is mainly used in carrying out the testing of voice service according to the testing task issuing of voice service quality joint analysis device, and generates original testing record and report voice service quality joint analysis device.

Testing process comprises: testing probe is deployed in to operator and pays close attention under the place (being measured zone) of quality of service and the business network element of each aspect.All testing probes all can have a service access network element corresponding with it.Between the network element of communication network, there is topological relation, by the topological relation of communication network, can depict the service path end to end between testing probe.In addition, can also for example, according to the O&M custom (hot spot region, section, city, home network element etc.) of operator testing probe group be divided into several probe set, so just can issue testing task to the probe set of specifying.Wherein, the service path in testing task between any two testing probes can be generated according to the topological relation of communication network automatically by voice service quality joint analysis device, and any two testing probes carry out the testing of voice service automatically.In testing process, testing probe can periodically report voice service quality joint analysis device by generated original testing record (mainly comprising original speech measurement data).

Wherein, in the present embodiment, testing probe adopts method for real-timely testing to carry out testing.That is to say, the original speech measurement data that testing probe reports voice service quality joint analysis device comprises the measurement data all time points after testing task starts.Wherein, on described all time points, also have the certain hour cycle, just this time cycle very little, this cycle can reach in the scope of the timely reflection quality of service that current operators approve in real-time.

Wherein, original testing record comprises original speech measurement data, also comprises testing time started, testing object (such as calling terminal title, terminal called title, calling terminal number, called terminal number etc.), calls out the time started, whether call answering time, the duration of call, off-hook dialing time delay, the time delay that continues, testing connect, whether call drop, whether single-pass, whether cross-talk, noise etc. information whether of testing.

Step 202, time granularity when determining analytic target, the time range that add up that will add up and carrying out statistical analysis.

Wherein, analytic target, time range and time granularity can be specified by user.

A kind of execution mode is: voice service quality joint analysis device provides a querying condition that interface is set, and arrange on interface the options such as analytic target, time range and statistics granularity are provided at querying condition, for determining the information such as analytic target, time range and statistics granularity for user.Meanwhile, voice service quality joint analysis device also can arrange on interface and arrange and trigger the start button that query analysis moves at querying condition.

Like this, for example, for example, time granularity (for example 0.5 hour) when the querying condition that user can provide by voice service quality joint analysis device arranges page input or selects analytic target (multiple cities), the time range (morning, 8:00 was to 18:00 in evening) that add up that will add up and carry out statistical analysis, and above-mentioned information is submitted to voice service quality joint analysis device by the start button arranging on the page by querying condition.

Above-mentionedly want the page to determine that the execution mode of analytic target, time range and the time granularity that will add up is the interactive mode between a kind of user and voice service quality joint analysis device by querying condition setting, be comparatively preferred implementation of one, but be not limited to this.

Step 203, according to time granularity, from database, obtain the original speech measurement data in time range of the analytic target that will add up, as the first original speech measurement data of analytic target.

Voice service quality joint analysis device is getting after analytic target, time range and the time granularity that will add up, from database, obtain original testing record corresponding to analytic target that will add up, then from the original testing record of the analytic target that will add up, obtain the original speech measurement data of the analytic target that will add up, then in the original speech measurement data of the analytic target that will add up, obtain part original speech measurement data, i.e. the first original speech measurement data according to time granularity and time range.For example, according to the time granularity of 0.5 hour, to 8:00 to 12:00 during this period of time the original speech measurement data in scope add up.

Wherein, above-mentioned steps 202 and step 203 are step 101 a kind of execution modes in real-time testing environment.

Step 204, all or part is determined to the first original speech measurement data of the analytic target that will add up averages statistical analysis, obtain the data of determining every speech index that the analytic target that will add up is corresponding with all or part.

Wherein, the mode that the first original speech measurement data is analyzed has two kinds, that all users are determined to the first original speech measurement data of the analytic target that will add up averages a statistical analysis, to go to analyze all quality of service situations of determining the analytic target that will add up from integral level; Or, can also determine the analytic target that will add up and select a part of analytic target from all users, the first original speech measurement data to selected partial analysis object averages statistical analysis, analyzes the quality of service situation of this partial analysis object to get on from integral level.For example, suppose that user determines that the analytic target that will add up comprises hot spot region a, hot spot region b, terminal c, terminal d and terminal e, user can be all analytic targets, be that hot spot region a, hot spot region b, terminal c, terminal d and terminal e regard an entirety (for example regarding a city as) as, the various index situations of entirety (for example this city).In addition, user can also be divided into a set by hot spot region a and b, and terminal c, d and e are divided into a set, respectively the various index situations as a whole time from statistics hot spot region and terminal.Another kind is respectively each the first original speech measurement data of determining the analytic target that will add up to be averaged to statistical analysis, to carry out the comparative analysis between each analytic target, analyzes the discrepancy of the quality of service between different analytic targets.Still determine that taking user the analytic target that will add up comprises that hot spot region a, hot spot region b, terminal c, terminal d and terminal e are as example, in difference statistical method, the various indexs of hot spot region a, hot spot region b, terminal c, terminal d and terminal e will be added up respectively, so that carry out the difference of the quality of service between analytic target hot spot region a, hot spot region b, terminal c, terminal d and terminal e.

The present embodiment adopts the first analysis mode, all or part is determined to the first original speech measurement data of the analytic target that will add up averages, and obtains result.

In the present embodiment, analytic target has been carried out to grade classification, upper level analytic target and next stage analytic target are inclusion relations, and next stage analytic target is the subset of upper level analytic target.When select one or more analytic target in a certain level analytic target time, voice service quality joint analysis device can choose the first original speech measurement data of its next stage analytic target automatically from database.Due to analytic target has been carried out to grade classification, analytic target also has a statistics granularity problem, in the present embodiment taking other analytic target of lowermost level of being divided as statistics granularity.

The present embodiment provides a kind of analytic target of four grades, comprises successively from top to bottom: top analytic target, secondary analytic target, three grades of analytic targets and level Four analytic target.Wherein, top analytic target is the set of secondary analytic target, and secondary analytic target is the set of three grades of analytic targets, and three grades of analytic targets are again the set of level Four analytic target, and level Four analytic target comprises concrete level Four analytic target.For example, top analytic target can be that city, secondary analytic target can be that hot spot region, three grades of analytic targets can be that terminal, level Four analytic target can be the service paths of terminal-to-terminal service (E2E), but be not limited to this.Inclusion relation between the present embodiment analytic targets at different levels is as shown in table 1.

Table 1

In above-mentioned table 1, top analytic target comprises multiple cities, and wherein, the first city comprises the first hot spot region-n hot spot region.Secondary analytic target comprises multiple hot spot regions, and wherein the first hot spot region comprises first terminal-z terminal.Three grades of analytic targets comprise multiple terminals, wherein first terminal comprise first terminal and the second terminal, the second terminal to first terminal ..., the many article service paths of first terminal to z terminal, z terminal to first terminal.Multiple many E2E service paths of level Four analytic target.

Above-mentioned analytic target for example in, it is the statistics granularity of analytic target that voice service quality joint analysis device can be selected service path.Illustrate, if the analytic target that user specifies is one or more terminals, voice service quality can be selected the corresponding original speech measurement data of many service paths corresponding to this terminal automatically.If the analytic target that user specifies is one or more cities (being top analytic target), voice service quality joint analysis device can be selected original speech measurement data corresponding to hot spot region under each city automatically; And for each hot spot region, its lower original speech measurement data corresponding to each terminal of voice service quality joint analysis device meeting automatic acquisition; For each terminal, voice service quality joint analysis device can the corresponding original speech measurement data of its lower many service paths of automatic acquisition.Certainly,, in above-mentioned illustrating, voice service quality joint analysis device also needs to consider time granularity and two factors of time range in the time obtaining original speech measurement data.

Based on above-mentioned, voice service quality joint analysis device is taking other analytic target of selected lowermost level as granularity, the first original speech measurement data of selected analytic target (i.e. all definite analytic targets that will add up) is gathered and averages statistics, generate a result data.When elected majority analytic target, statistics is exactly the mean value of multiple analytic targets, and in the time of an analytic target of selection, statistics is exactly the statistical value of single analytic target.In this way, user just can for example, for example, for example, average the analytic statistics of quality of service by region (multiple cities), section (multiple hot spot regions), customer group (multiple terminals) or office direction (multiple service paths that calling and called network element is identical), understand the business average level of whole net.Wherein, the result data generating mainly refers to speech index, for example various KPI and KQI.The present embodiment does not limit the number of speech index, the amount doesn't matter according to actual conditions, for example, can be one or more in testing cross-talk rate, testing noise rate, testing single-pass rate, testing cutting off rate, testing call completing rate and testing signal strength signal intensity etc.In the present embodiment, for the ease of analyzing the impact of each KPI on KQI, the result data obtaining comprises KQI.In the illustrating of various embodiments of the present invention, only taking the MOS in KQI as example, but be not limited to this.Table 2 provides partial voice index and the corresponding data of partial voice index in the embodiment of the present invention.

Table 2

Wherein, step 204 can be regarded a kind of embodiment of step 102 as.

Step 205, will determine that the data of every speech index that the analytic target that will add up is corresponding are stored in same data form with all or part, will determine that the trend curve of the speech index that the analytic target that will add up is corresponding is plotted in same tendency chart with all or part.

Voice service quality joint analysis device is getting after the data of speech index, and obtained every speech index is stored in a data form, for example as shown in table 2.And, voice service quality joint analysis device also can be drawn according to the data of indices the trend curve of indices, in the present embodiment, the trend curve of voice service quality joint analysis device indices is plotted in same tendency chart, in a tendency chart, show the trend curve of multinomial speech index, as shown in Figure 3 simultaneously.

Step 206, show data form and tendency chart simultaneously.

Forming after data form and tendency chart, voice service quality joint analysis device shows data form and tendency chart on its screen simultaneously.For example, voice service quality joint analysis device can be placed on tendency chart left one side of something of screen, data form is placed on to right one side of something of screen.Again for example, voice service quality joint analysis device can be placed on tendency chart and data form respectively right one side of something and left one side of something of screen.Again for example, voice service quality joint analysis device can also adopt the mode of upper figure following table or upper table figure below on screen, to place tendency chart and data form.For the trend curve of multinomial speech index, tendency chart can adopt single-row multirow matrix layout mode or single file multiple row matrix or multiple lines and multiple rows matrix layout mode to show.

Step 207, according to showing that every speech index corresponding to the definite analytic target that will add up of result pair and all or part carry out linkage analysis.

On same screen, show after tendency chart and data form simultaneously, can be by user according to intuitive display result, every speech index corresponding to analytic target be carried out to linkage analysis, obtain impact and the influence degree of each KPI on KQI in every speech index, make the relation between KPI and KQI clear.The present embodiment is taking MOS as example, therefore what specifically obtain is impact and the influence degree of KPI on MOS, makes the relation between KPI and MOS clear.

In addition, can also match, according to demonstration result, every speech index corresponding to analytic target be carried out to linkage analysis with voice service quality joint analysis device by user, obtain impact and the influence degree of each KPI on the MOS index in KQI in every speech index, make the relation between the MOS in KPI and KQI clear.

Wherein, above-mentioned steps 205-step 207 can be regarded a kind of execution mode of step 103 as.

The present embodiment is so that all the first original speech measurement data of determining the analytic target that will add up are averaged to statistics as example in declarative procedure, but is not limited to this.For example, can also from determine the analytic target that will add up, select part analytic target, then the partial analysis object obtaining is averaged to statistics from determine the analytic target that will add up, its process repeats no more.

The present embodiment is by determining that to all or part the first original speech measurement data of the analytic target that will add up averages statistics, analyzed the quality of service situation of selecting the analytic target of adding up from integral level, and by show data and the trend curve of every speech index simultaneously, by every speech index is carried out to Conjoint Analysis, make the relation of each KPI and KQI clear, be convenient to understand impact and the influence degree of each KPI on KQI, be convenient to help customer analysis problem, deal with problems.

The flow chart of the voice service quality conjoint analysis method that Fig. 4 provides for further embodiment of this invention.As shown in Figure 4, the method for the present embodiment comprises:

Step 401, acceptance division are deployed in the original speech measurement data measuring in real time that the testing probe under measured zone and business network element sends, and the original speech measurement data receiving is stored in database.

This step can be referring to the description of step 201.

Step 402, time granularity when determining analytic target, the time range that add up that will add up and carrying out statistical analysis.

This step can be referring to the description of step 202.

Step 403, according to time granularity, from database, obtain the original speech measurement data in time range of determining the analytic target that will add up, as the first original speech measurement data of analytic target.

This step can be referring to the description of step 203.

Step 404, each the first original speech measurement data of determining the analytic target that will add up is averaged to statistical analysis, obtain the data of each every speech index of determining the analytic target that will add up.

In the present embodiment, voice service quality joint analysis device averages statistical analysis to each the first original speech measurement data of determining the analytic target that will add up respectively, so that carry out each comparative analysis of determining between the analytic target that will add up, analyze the discrepancy of the quality of service between different analytic targets.

This step 404 is with the difference of step 204, voice service quality joint analysis device need to be distinguished each the first original speech measurement data of determining the analytic target that will add up, and respectively each the first original speech measurement data of determining the analytic target that will add up is carried out to statistical average.If it is multiple that user determines that the analytic target that will add up has, will generate multiple data results; If user determines the analytic target that will add up and only has one, will generate a data result.Wherein, the corresponding user of each data result determines the analytic target that will add up.

Wherein, the result data generating mainly refers to speech index, for example various KPI and KQI.The present embodiment does not limit the number of speech index, the amount doesn't matter according to actual conditions, and speech index can comprise the index that any business is general.Such as KPI can comprise one or more in testing cross-talk rate, testing noise rate, testing single-pass rate, testing cutting off rate, testing call completing rate and testing signal strength signal intensity etc.KQI can comprise MOS etc.In the present embodiment, for the ease of analyzing the impact of each KPI on KQI, the result data obtaining comprises KQI.

Relevant description about analytic target can be referring to step 204.

Above-mentioned steps 404 is another kind of embodiments of step 102.

Step 405, the data of each every speech index of determining the analytic target that will add up are stored in same data form, the trend curve of each speech index of determining the analytic target that will add up is plotted in same tendency chart.

Step 406, simultaneously each definite corresponding demonstration data form and the tendency chart of analytic target that will add up.

Step 407, according to showing that result carries out linkage analysis to each every speech index of determining the analytic target that will add up.

Above-mentioned steps 405-step 407 can be referring to the description of step 205-step 207, its difference is, in step 405-step 407, voice service quality joint analysis device is that each every speech index of determining the analytic target that will add up is processed, instead of all definite every speech indexs corresponding to analytic target that will add up are processed.

Above-mentioned steps 405-step 407 can be regarded the another kind of execution mode of step 103 as.

In the present embodiment, voice service quality joint analysis device averages statistical analysis to each the first original speech measurement data of determining the analytic target that will add up respectively, be convenient to carry out the comparative analysis between each analytic target, analyze the discrepancy of the quality of service between different analytic targets; And by show data and the trend curve of each every speech index of determining the analytic target that will add up simultaneously, by every speech index is carried out to Conjoint Analysis, make the KPI of each analytic target and the relation of KQI clear, impact and the influence degree of the KPI of being convenient to understand each analytic target on KQI, is convenient to help customer analysis problem, deals with problems.

The tendency chart of various embodiments of the present invention is mainly used in understanding the KQI index of the user awareness that characterizes voice service quality, the trend of for example MOS, and affect the variation tendency of the relevant KPI index of user awareness index, assist to analyze the incidence relation between these KPI and KQI (or user awareness).In order further to improve tendency chart and the effect of data form in Conjoint Analysis process, also convenient in order to make to analyze, the voice service quality joint analysis device of the present embodiment is before above-mentioned steps 206 and step 406, before showing at the same time data form and tendency chart, data form is carried out associated with tendency chart, so that determine in every speech index that the analytic target that will add up is corresponding with all or part in the tendency chart after association or eachly determine when the data on arbitrary speech index time point in office are selected in every speech index corresponding to the analysis that will add up, tendency chart can identify the data of other every speech indexs on selected time point, and in data form, identify the corresponding data of selected time point, also to make to determine in every speech index that the analytic target that will add up is corresponding with all or part in data form after associated simultaneously or eachly determine when data on arbitrary speech index time point in office are selected in every speech index that the analytic target that will add up is corresponding, in tendency chart, can identify the corresponding data of selected time point.

Processing mode after a kind of association is: in the time that user clicks the data point on the trend curve of any one speech index on tendency chart, all speech indexs can present vertical cursor line on same time point, to identify the data of other speech indexs on same time point.Simultaneously, the highlighted demonstration of corresponding data guild of corresponding selected time point in data form (the corresponding longitudinally data of light table line also can be highlighted in data form), facilitate user to locate and read related data, further facilitating the Conjoint Analysis to every speech index.In like manner, in the time of data in user click data form, the data in tendency chart on time point corresponding to these data will be highlighted, or on whole time point, show that a bright line identifies the data of all indexs on this time point.

Further, voice service quality joint analysis device data form and tendency chart are carried out associated before, can also on tendency chart, draw corresponding with all analytic targets is respectively the alarm threshold county of that speech index, or on tendency chart, draws the alarm threshold line of the indices of each analytic target.

Wherein, every speech index has different alarm grades, each alarm grade has corresponding alarm threshold, voice service quality joint analysis device is by being plotted in the alarm threshold at different levels of every speech index on the trend curve of every speech index, be convenient to user and find fault data, carry out specific aim analysis.

In order further to improve the convenience of Conjoint Analysis, voice service quality joint analysis device can also be known the data of super alarm threshold in data form with the alarm colour code of appropriate level, for example, for the data of threshold value that exceed the first alarm grade, by yellow mark, for the data of threshold value that exceed the second alarm grade, by green mark etc., user is more prone to find fault data like this, is convenient to carry out specific aim analysis.

In the various embodiments described above, the presentation mode of tendency chart and data form can be:

The title of tendency chart and the coordinate longitudinal axis lock in the horizontal direction, can not roll with HScrollBar, can roll with longitudinal scroll bar.In data form, non-achievement data cell (being placed in form left end) and non-index title bar lock in the horizontal direction, can not roll with HScrollBar, can roll with longitudinal scroll bar.The title bar (being placed in form top) of data form, in longitudinal locking, does not roll with longitudinal scroll bar, and index title bar can roll with HScrollBar.Achievement data cell can be with level and longitudinally scroll bar rolling.

Tendency chart is rolling operation on time-axis direction, and data form is synchronous rolling on time-axis direction, shows the data of same range taking first time point as baseline; Tendency chart is rolling operation in index kind direction, and data form is synchronous rolling in index kind direction, shows the data of same range taking first index in tendency chart as baseline.On the contrary, carry out rolling operation on data form, tendency chart does the interlock of effect same.

Show that as shown in Figure 3 result is example, suppose some KPI in a time period, as the testing call completing rate in Fig. 3, testing cutting off rate with testing single-pass rate trend is mild and data are normal, these KPI indexs and user awareness index are described, i.e. the reduction of MOS in Fig. 3 is irrelevant.From the trend curve of MOS, can find out affect MOS start decline be the fluctuation of testing noise rate and the lasting rising of testing cross-talk rate.Further, by clicking the time point that starts decline on the trend curve of MOS, the testing noise rate after bright line that this time point is corresponding of can finding does not almost fluctuate, and testing cross-talk rate is also continuing rising, can find out that the reason that causes user awareness index MOS201-1 to reduce is that testing cross-talk rate is too high, although testing noise rate has fluctuation once in a while, be not to affect the poor main cause of user awareness, based on this, can judge that calling out cross talk causes user awareness poor.

In order aspect more every associated voice index to be carried out to Conjoint Analysis, the trend curve of incoherent speech index and data can be hidden in tendency chart and data form, and only be left associated voice index.More specifically, if what show in tendency chart is the trend curve of the every speech index corresponding with all analytic targets, voice service quality joint analysis device can be according to the trend curve of the every speech index corresponding with all analytic targets showing in tendency chart, obtain in every speech index for example, to the KPI in the influential every speech index of the decline of KQI (MOS), will for example, not have the trend curve of the KPI in influential every speech index and data in tendency chart and data form, to hide respectively to the decline of KQI (MOS).If what show in tendency chart is the trend curve of each every speech index of determining the analytic target that will add up, voice service quality joint analysis device can be according to the trend curve of the each every speech index of determining the analytic target that will add up showing in tendency chart, obtain the KPI in the influential every speech index of the decline of the KQI in every speech index, the trend curve and the data that the decline of KQI are not had to the KPI in influential every speech index are hidden respectively in tendency chart and data form.

Taking Fig. 3 as example, voice service quality joint analysis device can be by hiding operation, unwanted KPI, as testing call completing rate, testing cutting off rate, testing cross-talk rate, testing single-pass rate are filtered, to facilitate user the decline of MOS to be carried out to the analysis of reason.

Wherein, when the trend curve of certain speech index is hidden in operation, can adopt dynamic visual impact, trend curve is shrunk to the title of speech index, dynamic trajectory moves to " hiding index " hurdle, hides the data rows of this speech index in data form simultaneously.Click the title of certain speech index on " hiding index " hurdle, the trend curve of this speech index will dynamically present in tendency chart region, and in data form, also can present data rows corresponding to this speech index, this speech index can be removed from " hiding index " hurdle automatically, and this process is the hiding inverse process of speech index.

In addition, hide or show that the trend curve of certain speech index and the mode of data can also adopt final election drop-down list mode to operate, choosing and show, emptying trend curve and the data rows of hiding corresponding speech index.

Further, voice service quality joint analysis device shows at the same time by before data form and tendency chart, is also included in data form as the data of the data of every speech index corresponding with the definite analytic target that will add up of all or part or every speech index of the each definite analytic target that will add up are set up linking between original speech measurement data.Wherein, voice service quality joint analysis device can be taking each time point as benchmark, and all speech Index Establishments corresponding for each this time point connect, for example, taking table 2 as example, wherein " operation " of corresponding every row, i.e. original measurement record, is set up hyperlink.

Based on above-mentioned, voice service quality joint analysis device can be according to hyperlink, obtaining every speech index (can be the speech index corresponding with the definite analytic target that will add up of all or part, also can be each speech index of determining the analytic target that will add up) testing recorded information (being original speech measurement data) corresponding to data, and show the original speech measurement data of obtaining.Further, voice service quality joint analysis device can also generate service path according to the original speech measurement data of obtaining, and shows the service path generating, so that service path is measured piecemeal.

By aforesaid operations, can recall particular problem point.By being linked to every original speech measurement data of calling, and show service path and the testing result of every original speech measurement data with topological graphization, by service path is measured piecemeal, can provide doubtful fault point and process suggestion, assist fault location and raise the efficiency.Suppose the service path of generated a business Lu Jingwei first terminal to the second terminal, between first terminal and the second terminal, pass through the first intermediate equipment (BSC002), the second intermediate equipment (UMG002), the 3rd intermediate equipment (MSC002) and the 4th intermediate equipment (MAC001), and be connected with third terminal in the second intermediate equipment.By this service path is measured and is provided piecemeal: doubtful fault point is: first terminal is to the section of the second intermediate equipment; Possible breakdown point is: the second intermediate equipment is to the section between the second terminal.The processing suggestion providing is: detect first terminal to the whether wrong line of the circuit on the section of the second intermediate equipment or make contact, if fault is not got rid of, then investigating possible breakdown point; Detect the second intermediate equipment to the whether wrong line of the circuit on the section of the second terminal or make contact, if fault is got rid of not yet, please seeking help to equipment vendors.

Further, voice service quality joint analysis device can also obtain testing recording corresponding to original speech measurement data, generates the frequency spectrum of testing recording; In playing testing recording, show the frequency spectrum of testing recording, to carry out the reproduction of user's impression.Moreover voice service quality joint analysis device can also obtain the calling record of testing receiving terminal and/or testing transmitting terminal, generate the frequency spectrum of the calling record of testing receiving terminal and/or testing transmitting terminal; Play the calling record of testing receiving terminal and/or testing transmitting terminal and show testing receiving terminal and/or the frequency spectrum of the calling record of testing transmitting terminal, worsening situation with analyzing speech.In the playing process of testing recording or calling record, the synchronous inswept benchmark audible spectrum of cursor line and degradation recording frequency spectrum, cursor line is synchronizeed with playing progress rate, and which some recording is played to, cursor line is just synchronous on which point of voice spectrum, facilitates customer analysis audible spectrum.In addition, can also locate by dragging progress bar slide block on player the play position of testing recording or calling record.Moreover, can also for example, by pinning the combination (combination of Ctrl or Ctrl+Shifit key) of function key or multiple function keys, pull progress bar slide block or click primary importance and the second place simultaneously and carry out fixed time section, between reference edge recording and the recording of degradation end, switch and play, to specify certain section of recording to compare analysis, discharge fixed time section by clicking " stopping " button.

In the various embodiments described above, voice service quality joint analysis device can also be by various statistic analysis result output.

Further, after obtaining the first original speech measurement data of analytic target and analytic target carried out to statistical analysis, based on the first obtained original speech measurement data, voice service quality joint analysis device also allows to reset analytic target, time range and time granularity etc., and the first obtained original speech measurement data is carried out to statistical analysis for the second time.The first obtained original speech measurement data is carried out to the process of statistical analysis for the second time identical with the process of carrying out for the first time statistical analysis, repeat no more.

In this explanation, the analytic target resetting is to choose in the analytic target arranging for the first time, and the time range resetting must be in the time range arranging for the first time, and the time granularity the resetting time granularity that is greater than or equals to arrange for the first time.

In sum, the voice service quality conjoint analysis method that the embodiment of the present invention provides has following beneficial effect: 1, one query, analytical method is set flexibly, from region, section, terminal and the E2E service path dimension quality of service KQI/KPI that meets operator's different spaces granularity and time granularity analyzes demand; The KQI/KPI that meets the quality of service level comparison between the horizontal analysis of operator entirety quality of service, local quality of service horizontal analysis and different object analyzes demand, has solved different statistics granularities and need to set up the problem of different statistics tasks; Solve different statistics granularities and need to carry out repeatedly data query, and hard work amount, the low efficiency problem of the screening of the later stage of data query and human-edited's formula statistics.2, chart interlock and cursor line location, be convenient to user and carry out the association analysis between each KQI/KPI index, judges rapidly traffic affecting KPI index.3, provide reviewing of original testing record, the playback of original testing recording is delimited with substep fault, directly the impression of perception user's actual services and raising fault location efficiency.

The structural representation of the speech service quality joint analysis device that Fig. 5 provides for one embodiment of the invention.As shown in Figure 5, the device of the present embodiment comprises: the first acquisition module 51, the second acquisition module 52 and display analysis module 53.

Wherein, the first acquisition module 51, for obtaining the first original speech measurement data of analytic target.The second acquisition module 52, be connected with the first acquisition module 51, carry out data statistic analysis for the first original speech measurement data of obtaining according to the first acquisition module 51, obtain the data of every speech index, every speech index comprises Key Performance Indicator KPI and Key Quality Indicator KQI.Display analysis module 53, be connected with the second acquisition module 52, for the trend curve of every speech index of showing the data of every speech index that the second acquisition module 52 obtains and generated by the data of every speech index simultaneously, according to showing that result carries out association analysis to every speech index.

Each functional module of the voice service quality joint analysis device of the present embodiment can be used for the flow process of the conjoint analysis method of voice service quality shown in execution graph 1, and its specific works principle repeats no more, and refers to the description of embodiment of the method.

The voice service quality joint analysis device of the present embodiment can base station, but is not limited to this.

The voice service quality joint analysis device of the present embodiment, by obtaining the speech index that comprises KPI and KQI, then get influential each KPI to KQI by every speech index of obtaining being carried out to association analysis, make the relation of KPI and KQI clear, be convenient to analyze impact and the influence degree of various KPI on user awareness.

The structural representation of the speech service quality joint analysis device that Fig. 6 provides for another embodiment of the present invention.The present embodiment is based on realization embodiment illustrated in fig. 5, and as shown in Figure 6, the device of the present embodiment also comprises: receiver module 54.

Receiver module 54, be connected with the first acquisition module 51, for before the first acquisition module 51 obtains the first original speech measurement data of analytic target, acceptance division is deployed in the original speech measurement data measuring in real time that the testing probe under measured zone and business network element sends, and the original speech measurement data receiving is stored in database, so that the first acquisition module 51 obtains the first original speech measurement data of analytic target from database.

Further, the time granularity of first acquisition module 51 of the present embodiment when determining analytic target, the time range that add up that will add up and carry out statistical analysis, and according to time granularity, from database, obtain the original speech measurement data in time range of determining the analytic target that will add up, as the first original speech measurement data of analytic target.

The second acquisition module 52 is specifically for determining that to all or part the first original speech measurement data of the analytic target that will add up averages statistical analysis, obtain the data of the every speech index corresponding with the definite analytic target that will add up of all or part, or specifically for each the first original speech measurement data of determining the analytic target that will add up is averaged to statistical analysis, obtain the data of every speech index of each analytic target.

Display analysis module 53 specifically for by with all or part determine statistics every speech index corresponding to analytic target data or the data of each every speech index of determining the analytic target that will add up are stored in same data form, to determine that the trend curve of the speech index that the analytic target that will add up is corresponding or the trend curve by each every speech index of determining the analytic target that will add up are plotted in same tendency chart with all or part, then show data form and tendency chart simultaneously, and carry out linkage analysis according to demonstration result pair every speech index corresponding with the definite analytic target that will add up of all or part or every speech index corresponding to the each definite analytic target that will add up.

Further, the voice service quality joint analysis device of the present embodiment also comprises: association process module 55.

Association process module 55, be connected with display analysis module 53, for before display analysis module 53 shows data form and tendency chart simultaneously, data form is carried out associated with tendency chart, so that determine in every speech index that the analytic target that will add up is corresponding or when in each every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected with all or part in tendency chart after associated, tendency chart can identify other speech indexs corresponding with the definite analytic target that will add up of all or part or the each data of other speech indexs on selected time point of determining the analytic target that will add up, and in data form, identify the corresponding data of selected time point, and make after associated to determine in every speech index that the analytic target that will add up is corresponding or when in each every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected with all or part in data form, in tendency chart, can identify the corresponding data of selected time point.

The voice service quality joint analysis device of the present embodiment also comprises: threshold line identification module 56.

Wherein, threshold line identification module 56, be connected with display analysis module 53, for before display analysis module 53 shows data form and tendency chart simultaneously, on tendency chart, draw the alarm threshold line every speech index or the each every speech index of determining the analytic target that will add up corresponding with the definite analytic target that will add up of all or part.

Based on above-mentioned, the display analysis module 53 of the present embodiment is also specifically for determining with all or part the trend curve every speech index or each every speech index of determining the analytic target that will add up that the analytic target that will add up is corresponding according to what show in tendency chart, obtain the KPI in the influential every speech index of the decline of the KQI in every speech index, the trend curve and the data that the decline of KQI are not had to influential KPI are hidden respectively in tendency chart and data form.

Further, the voice service quality joint analysis device of the present embodiment also comprises: module 57 is set up in link.Module 57 is set up in link, be connected with display analysis module 53, for before display analysis module 53 shows data form and tendency chart simultaneously, in data form, for the data of the data of every speech index corresponding with the definite analytic target that will add up of all or part or every speech index of the each definite analytic target that will add up are set up linking between original speech measurement data.

Set up module 57 based on above-mentioned link, the voice service quality joint analysis device of the present embodiment also comprises: the 3rd acquisition module 58 and path display module 59.

Wherein, the 3rd acquisition module 58, be connected with receiver module 54, be used for according to link, obtain the original speech measurement data that receiver module 54 corresponding to the data of every speech index corresponding with the definite analytic target that will add up of all or part or the data of each every speech index of determining the analytic target that will add up receives and store, and show original speech measurement data.Path display module 59, is connected with the 3rd acquisition module 58, generates service path for the original speech measurement data of obtaining according to the 3rd acquisition module 58, and display business path, so that service path is measured piecemeal.

Further, the voice service quality joint analysis device of the present embodiment also comprises: the 4th acquisition module 60 and the first playing module 61.

Wherein, the 4th acquisition module 60, is connected with the 3rd acquisition module 58, and the testing recording corresponding to original speech measurement data of obtaining for obtaining the 3rd acquisition module 58, generates the frequency spectrum that testing is recorded.The first playing module 61, is connected with the 4th acquisition module 60, and the frequency spectrum of recording and showing testing recording for playing testing that the 4th acquisition module 60 obtains, to carry out the reproduction of user's impression.

Further, the voice service quality joint analysis device of the present embodiment also comprises: the 5th acquisition module 62 and the second playing module 63.

Wherein, the 5th acquisition module 62, for obtaining the calling record of testing receiving terminal and/or testing transmitting terminal, generates the frequency spectrum of the calling record of testing receiving terminal and/or testing transmitting terminal.The second playing module 63, be connected with the 5th acquisition module 62, for playing the calling record of testing receiving terminal that the 5th acquisition module 62 obtains and/or testing transmitting terminal and showing testing receiving terminal and/or the frequency spectrum of the calling record of testing transmitting terminal, worsen situation with analyzing speech.

Above-mentioned each functional module can be used for execution graph 2 or embodiment illustrated in fig. 4 in corresponding flow process, its specific works principle repeats no more, and refers to the description of embodiment of the method.

The voice service quality joint analysis device of the present embodiment has following beneficial effect: 1, one query, analytical method is set flexibly, from region, section, terminal and the E2E service path dimension quality of service KQI/KPI that meets operator's different spaces granularity and time granularity analyzes demand; The KQI/KPI that meets the quality of service level comparison between the horizontal analysis of operator entirety quality of service, local quality of service horizontal analysis and different object analyzes demand, has solved different statistics granularities and need to set up the problem of different statistics tasks; Solve different statistics granularities and need to carry out repeatedly data query, and hard work amount, the low efficiency problem of the screening of the later stage of data query and human-edited's formula statistics.2, chart interlock and cursor line location, be convenient to user and carry out the association analysis between each KQI/KPI index, judges rapidly traffic affecting KPI index.3, provide reviewing of original testing record, the playback of original testing recording is delimited with substep fault, directly the impression of perception user's actual services and raising fault location efficiency.

The structural representation of the voice service quality Conjoint Analysis system that Fig. 7 provides for one embodiment of the invention.As shown in Figure 7, the system of the present embodiment comprises: be deployed in testing probe 70 (Fig. 6 is taking 3 as example) and voice service quality joint analysis device 71 under measured zone and business network element.Testing probe 70 is connected with voice service quality joint analysis device 71.

Wherein, can, referring to the description in step 201, not repeat them here about the description of testing probe 70.

The voice service quality joint analysis device that voice service quality joint analysis device 71 can use the above embodiment of the present invention to provide, its concrete structure is referring to shown in Fig. 5 or Fig. 6, and its operation principle can, referring to shown in Fig. 1, Fig. 2 or Fig. 4, all repeat no more at this.

The voice service quality Conjoint Analysis system of the present embodiment comprises the voice service quality joint analysis device that the embodiment of the present invention provides, can carry out association analysis to every speech index equally, get influential each KPI to KQI, make the relation of KPI and KQI clear, be convenient to analyze impact and the influence degree of various KPI on user awareness.

One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can complete by the relevant hardware of program command, aforesaid program can be stored in a computer read/write memory medium, this program, in the time carrying out, is carried out the step that comprises said method embodiment; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CDs.

Finally it should be noted that: above embodiment only, in order to technical scheme of the present invention to be described, is not intended to limit; Although the present invention is had been described in detail with reference to previous embodiment, those of ordinary skill in the art is to be understood that: its technical scheme that still can record aforementioned each embodiment is modified, or part technical characterictic is wherein equal to replacement; And these amendments or replacement do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.

Claims

1. a voice service quality conjoint analysis method, is characterized in that, comprising:

Obtain the first original speech measurement data of analytic target;

The trend curve of the described every speech index that simultaneously shows the data of described every speech index and generated by the data of described every speech index, according to showing that result carries out association analysis to described every speech index;

Wherein, the trend curve of the described described every speech index that simultaneously shows the data of described every speech index and generated by the data of described every speech index, according to showing that result carries out association analysis to described every speech index, comprising:

To determine that the data of described every speech index that the analytic target that will add up is corresponding or the data by each described described every speech index of determining the analytic target that will add up are stored in same data form with all or part, by the trend curve of the described speech index corresponding with determining the analytic target that will add up described in all or part or the trend curve of each described described every speech index of determining the analytic target that will add up is plotted in same tendency chart;

Show described data form and described tendency chart simultaneously;

Carry out linkage analysis according to described demonstration result pair with determining described every speech index that the analytic target that will add up is corresponding or each described described every speech index of determining that the analytic target that will add up is corresponding described in all or part.

2. voice service quality conjoint analysis method according to claim 1, is characterized in that, described in comprise before obtaining the first original speech measurement data of analytic target:

Acceptance division is deployed in the original speech measurement data measuring in real time that the testing probe under measured zone and business network element sends, and the described original speech measurement data receiving is stored in database.

3. voice service quality conjoint analysis method according to claim 2, is characterized in that, described in obtain analytic target the first original speech measurement data comprise:

The definite analytic target that will add up, the time range that add up and the time granularity while carrying out statistical analysis;

According to described time granularity, from described database, obtain the described original speech measurement data in described time range of determining the analytic target that will add up, as the first original speech measurement data of described analytic target.

4. according to the voice service quality conjoint analysis method described in claim 1 or 2 or 3, it is characterized in that, describedly carry out data statistic analysis according to the first obtained original speech measurement data, the data of obtaining every speech index comprise:

The first original speech measurement data of determining the analytic target that will add up described in all or part is averaged to statistical analysis, obtain the data with described every speech index that described in all or part, the definite analytic target that will add up is corresponding; Or

Each described the first original speech measurement data of determining the analytic target that will add up is averaged to statistical analysis, obtain the data of described every speech index of each described analytic target.

5. voice service quality conjoint analysis method according to claim 1, is characterized in that, describedly comprises before showing described data form and described tendency chart simultaneously:

Described data form is carried out associated with described tendency chart, so that after associated in described tendency chart in described every speech index corresponding with determining the analytic target that will add up described in all or part or when in each described described every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected, described tendency chart can identify with described in all or part, determine corresponding other of the analytic target that will add up described in speech index or the each described data of speech index on described selected time point described in other of the analytic target that will add up of determining, and in described data form, identify the corresponding data of described selected time point, and make associated after in described data form in described every speech index corresponding with determining the analytic target that will add up described in all or part or when in each described described every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected, in described tendency chart, can identify the corresponding data of described selected time point.

6. voice service quality conjoint analysis method according to claim 5, is characterized in that, described described data form and described tendency chart is carried out before associated comprising:

On described tendency chart, draw the alarm threshold line with described every speech index described every speech index or the each described definite analytic target that will add up that described in all or part, the definite analytic target that will add up is corresponding.

7. voice service quality conjoint analysis method according to claim 1, it is characterized in that, describedly carry out linkage analysis and comprise with determining described every speech index that the analytic target that will add up is corresponding or each described described every speech index of determining that the analytic target that will add up is corresponding described in all or part according to described demonstration result pair:

According to the trend curve described every speech index or each described described every speech index of determining the analytic target that will add up showing in described tendency chart with described in all or part, the definite analytic target that will add up is corresponding, obtain the KPI in the influential described every speech index of the decline of the KQI in described every speech index, the trend curve and the data that the decline of described KQI are not had to influential KPI are hidden respectively in described tendency chart and described data form.

8. voice service quality conjoint analysis method according to claim 1, is characterized in that, describedly comprises before showing described data form and described tendency chart simultaneously:

In described data form, for setting up linking between described original speech measurement data with the data of described every speech index that described in all or part, the definite analytic target that will add up is corresponding or the data of each described described every speech index of determining the analytic target that will add up.

9. voice service quality conjoint analysis method according to claim 8, is characterized in that, also comprises:

According to described link, obtain the original speech measurement data corresponding with the data of the data of described every speech index that described in all or part, the definite analytic target that will add up is corresponding or described every speech index of the each described definite analytic target that will add up, and show described original speech measurement data;

Generate service path according to described original speech measurement data, and show described service path, so that described service path is measured piecemeal.

10. voice service quality conjoint analysis method according to claim 9, is characterized in that, also comprises:

Obtain testing recording corresponding to described original speech measurement data, generate the frequency spectrum of described testing recording;

Play the frequency spectrum that described testing is recorded and shown described testing recording, to carry out the reproduction of user's impression.

11. voice service quality conjoint analysis methods according to claim 10, is characterized in that, also comprise:

Obtain the calling record of testing receiving terminal and/or testing transmitting terminal, generate the frequency spectrum of the calling record of described testing receiving terminal and/or testing transmitting terminal;

Play the calling record of described testing receiving terminal and/or testing transmitting terminal and show the frequency spectrum of the calling record of described testing receiving terminal and/or testing transmitting terminal, worsen situation with analyzing speech.

12. 1 kinds of voice service quality joint analysis devices, is characterized in that, comprising:

Display analysis module, for the trend curve of described every speech index of showing the data of described every speech index and generated by the data of described every speech index simultaneously, according to showing that result carries out association analysis to described every speech index;

Wherein, described display analysis module is specifically for determining that the data of described every speech index that the analytic target that will add up is corresponding or the data by each described described every speech index of determining the analytic target that will add up are stored in same data form with all or part, to be plotted in same tendency chart with determining the trend curve of the described speech index that the analytic target that will add up is corresponding or the trend curve by each described described every speech index of determining the analytic target that will add up described in all or part, show described data form and described tendency chart simultaneously, and carry out linkage analysis according to described demonstration result pair with determining described every speech index that the analytic target that will add up is corresponding or each described described every speech index of determining that the analytic target that will add up is corresponding described in all or part.

13. voice service quality joint analysis devices according to claim 12, is characterized in that, also comprise:

Receiver module, is deployed in for acceptance division the original speech measurement data measuring in real time that the testing probe under measured zone and business network element sends, and the described original speech measurement data receiving is stored in database.

14. voice service quality joint analysis devices according to claim 13, it is characterized in that, the time granularity of described the first acquisition module when determining analytic target, the time range that add up that will add up and carry out statistical analysis, and according to described time granularity, from described database, obtain the described original speech measurement data in described time range of determining the analytic target that will add up, as the first original speech measurement data of described analytic target.

15. according to the voice service quality joint analysis device described in claim 12 or 13 or 14, it is characterized in that, described the second acquisition module is specifically for averaging statistical analysis to the first original speech measurement data of determining the analytic target that will add up described in all or part, obtain the data with described every speech index that described in all or part, the definite analytic target that will add up is corresponding, or specifically for each described the first original speech measurement data of determining the analytic target that will add up is averaged to statistical analysis, obtain the data of described every speech index of each described analytic target.

16. voice service quality joint analysis devices according to claim 12, is characterized in that, also comprise:

Association process module, for described data form is carried out associated with described tendency chart, so that after associated in described tendency chart in described every speech index corresponding with determining the analytic target that will add up described in all or part or when in each described described every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected, described tendency chart can identify with described in all or part, determine corresponding other of the analytic target that will add up described in speech index or the each described data of speech index on described selected time point described in other of the analytic target that will add up of determining, and in described data form, identify the corresponding data of described selected time point, and make associated after in described data form in described every speech index corresponding with determining the analytic target that will add up described in all or part or when in each described described every speech index of determining the analytic target that will add up, the data on arbitrary speech index time point in office are selected, in described tendency chart, can identify the corresponding data of described selected time point.

17. voice service quality joint analysis devices according to claim 16, is characterized in that, also comprise:

Threshold line identification module, for the alarm threshold line described every speech index or each described described every speech index of determining the analytic target that will add up of drawing on described tendency chart with described in all or part, the definite analytic target that will add up is corresponding.

18. voice service quality joint analysis devices according to claim 12, it is characterized in that, described display analysis module also specifically for according in described tendency chart, show with the trend curve described every speech index or each described described every speech index of determining the analytic target that will add up of determining described in all or part that the analytic target that will add up is corresponding, obtain the KPI in the influential described every speech index of the decline of the KQI in described every speech index, the trend curve and the data that the decline of described KQI are not had to influential KPI are hidden respectively in described tendency chart and described data form.

19. voice service quality joint analysis devices according to claim 12, is characterized in that, also comprise:

Module is set up in link, be used at described data form, for setting up linking between described original speech measurement data with the data of described every speech index that described in all or part, the definite analytic target that will add up is corresponding or the data of each described described every speech index of determining the analytic target that will add up.

20. voice service quality joint analysis devices according to claim 19, is characterized in that, also comprise:

The 3rd acquisition module, be used for according to described link, obtain the original speech measurement data corresponding with the data of the data of described every speech index that described in all or part, the definite analytic target that will add up is corresponding or described every speech index of the each described definite analytic target that will add up, and show described original speech measurement data;

Path display module, for generating service path according to described original speech measurement data, and shows described service path, so that described service path is measured piecemeal.

21. voice service quality joint analysis devices according to claim 20, is characterized in that, also comprise:

The 4th acquisition module, for obtaining testing recording corresponding to described original speech measurement data, generates the frequency spectrum of described testing recording;

The first playing module, the frequency spectrum of recording and showing described testing recording for playing described testing, to carry out the reproduction of user's impression.

22. voice service quality joint analysis devices according to claim 21, is characterized in that, also comprise:

The 5th acquisition module, for obtaining the calling record of testing receiving terminal and/or testing transmitting terminal, generates the frequency spectrum of the calling record of described testing receiving terminal and/or testing transmitting terminal;

The second playing module, for playing the calling record of described testing receiving terminal and/or testing transmitting terminal and showing the frequency spectrum of the calling record of described testing receiving terminal and/or testing transmitting terminal, worsens situation with analyzing speech.

23. 1 kinds of voice service quality Conjoint Analysis systems, is characterized in that, comprising: be deployed in the voice service quality joint analysis device described in testing probe and the claim 12-22 any one under measured zone and business network element.