CN101562829A - Method for calculating user perception - Google Patents
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- CN101562829A CN101562829A CNA2009101349983A CN200910134998A CN101562829A CN 101562829 A CN101562829 A CN 101562829A CN A2009101349983 A CNA2009101349983 A CN A2009101349983A CN 200910134998 A CN200910134998 A CN 200910134998A CN 101562829 A CN101562829 A CN 101562829A
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Abstract
The invention relates to a method for calculating user perception, comprising the following steps of: respectively calculating the score data of each key quality index of the bottommost dimension in a user perception evaluating model; multiplying all the key quality indexes belonging to the bottommost dimension with corresponding weight coefficient and then adding the key quality indexes with the corresponding weight coefficient to obtain the score data of the bottommost dimension; multiplying the score data of the bottommost dimension with the corresponding weight coefficient and then adding the score data with the corresponding weight coefficient to obtain the score data of the dimension before the bottom dimension so as to obtain the user perception score of the top-level dimension in turn. The method can perform quantizing evaluation on the communication quality of users in the interest of users so as to reflect true perception of the users.
Description
Technical field
The present invention relates to the communication test field, particularly relate to a kind of measuring method of user's perception.
Background technology
Grow at top speed in wireless communications market, increasingly competitive, under the environment that evolution of market must become increasingly complex, ripe telecom operators are in the operation of care self network stabilization, how to improve user satisfaction, reduce churn rate, the potential value of digging user and profit growth point have become and have retained its competitive edge and fight for the first-chair key in future market.
The KPI (Key Performance Indicator) that existing network evaluation system is based on network element mostly analyzes, the KPI analytical system obtains from the webserver that number of dropped calls, speech quality parameter, note receive number of success/rate, note on average sends a plurality of data such as duration, caller access failure rate, called access failure rate, these data are analyzed computing, the assessment network quality, the phase-split network fault, the operation management of standard network.For example, according to data statistics, the phone number of times is 100, accounts for 1/1000 of total talk times, and the conversation fault level is slight.
Above-mentioned KPI analytical system can analyze network communication quality and failure cause more objective, exactly, but, this KPI analytical system is that the angle that stands in network side is described the Internet resources quality, can not describe the sense of reality of user in the actual use of network.For example, a plurality of call drops of a user and a plurality of users' a call drop is identical from the network side analysis, analyzes from different user sides that then difference is very big, perception that can't each user of actual response.
At present, also be in manual testing's stage at the test of each user's perception, the tester uses communication terminal to carry out field test, and the visual perception communication quality is as the assessment foundation.But the communication quality that this test mode can only the visual sense client can not quantitative evaluation, is difficult to apply on a large scale.
Therefore, need a kind of measuring method of user's perception, can stand in user's angle, the assessment that the user's communications quality quantizes, reaction user's true perception.
Summary of the invention
Technical problem to be solved by this invention provides a kind of measuring method of user's perception, and this method can stand in user's angle, to the assessment that the user's communications quality quantizes, reaction user's true perception.
The measuring method of a kind of user's perception of the present invention comprises: the score data of calculating each Key Quality Indicator of bottom dimension in user's perception assessment models respectively; Each the Key Quality Indicator score data that belongs to a last dimension be multiply by the addition again of corresponding weights coefficient, obtain the score data of a dimension; The score data of a last dimension be multiply by the addition again of corresponding weights coefficient, obtain going up again the score data of a dimension, and the like, user's perception score of acquisition the superiors dimension.
Preferably, be voice quality as Key Quality Indicator, the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps: the voice quality signal of the described customer group that will detect is divided into 7 grades by signal quality; To multiply by first coefficient after the addition of preceding 4 grade value corresponding, multiply by second coefficient after the addition of back 3 grade value corresponding, again with two product additions; Described first coefficient is greater than described second coefficient.
Preferably, be coverage rate as Key Quality Indicator, the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps: the signal strength signal intensity that detects sampled signal; Signal strength signal intensity is accounted for the ratio of total sampling odd number as coverage rate greater than the sampling number of default value.
Preferably, as Key Quality Indicator is the caller call completing rate, and the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps: the caller network insertion success rate, the calling subscriber that detect described customer group respectively insert success rate and caller Alert success rate; Above-mentioned caller network insertion success rate, calling subscriber are inserted success rate and caller Alert success rate multiplies each other, obtain the caller call completing rate.
Preferably, described caller network insertion success rate is 1-(a caller times of congestion/caller number of attempt).
Preferably, described calling subscriber to insert success rate be 1-(caller access failure number of times/caller number of attempt).
Preferably, described caller Alert success rate is Alert number of caller/caller number of attempt.
Preferably, be called call completing rate as Key Quality Indicator, the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps: detect respectively that called network inserts success rate, the called subscriber inserts success rate and called Alert success rate; Above-mentioned called network is inserted success rate, called subscriber to be inserted success rate and called Alert success rate and multiplies each other and obtain called call completing rate.
Preferably, described called network access success rate is 1-(a called times of congestion/called number of attempt).
Preferably, described called subscriber to insert success rate be 1-(called access failure number of times/called number of attempt).
Preferably, described called Alert success rate is called Alert number/called number of attempt.
Compared with prior art, the present invention has the following advantages:
When the present invention comprises the test index of a plurality of dimensions at user's sensory perceptual system, obtain the communication data of bottom dimension index earlier, calculate the score data of bottom index according to this communication data, calculate score data more successively in a dimension index, obtain user's perception score of the superiors' dimension at last, realization is reacted the perception of this user or customer group truly to the quantitative evaluation of client perception.
Description of drawings
Fig. 1 is an embodiment schematic diagram of QoE of the present invention (user's sensory perceptual system) assessment models;
Fig. 2 is the crucial quality measuring method of the present invention first embodiment flow chart;
Fig. 3 is mapping algorithm one schematic diagram of the present invention;
Fig. 4 is another schematic diagram of mapping algorithm of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
When the present invention comprises the test index of a plurality of dimensions at user's sensory perceptual system, obtain the communication data of bottom dimension index earlier, calculate the score data of bottom index according to this communication data, calculate score data more successively in a dimension index, obtain user's perception score of the superiors' dimension at last, realization is reacted the perception of this user or customer group truly to the quantitative evaluation of client perception.
Referring to Fig. 1 is an embodiment of voice in the QoE assessment models/minor service-user total satisfaction, and the first dimension layer of this QoE assessment models comprises reliability and two indexs of comfortableness, promptly comes the assesses user satisfaction by reliability and comfortableness two aspects; In second dimension, reliability comprises professional instantaneity and service conversation quality, comfortableness comprises professional accessibility and professional integrality, promptly judges reliability by professional instantaneity and service conversation quality, judges user satisfaction by professional accessibility and professional integrality;
At third dimension degree, professional instantaneity comprise the speech business caller set up duration, speech business called set up duration, speech business discharge duration, and the SNS content transmit duration; The service conversation quality comprise up-downgoing quality, up-downgoing level, and suspicious speech interrupted; Professional accessibility comprises that speech business caller call completing rate, the called call completing rate of speech business, SMS send success rate, reach SMS reception success rate; Professional integrality comprises user's caller cutting off rate, the called cutting off rate of user, reaches suspicious single-pass, the rate of passing on a message.
At the fourth dimension degree, the speech business caller is set up duration and is comprised caller and on average insert duration, the called duration of setting up of speech business comprises called average access duration, and speech business discharges duration and comprises user's duration of on average taking out stitches, and the SNS content transmits duration and comprises the SMS content and on average transmit duration.
The up-downgoing quality comprises up speech quality and descending speech quality, and the up-downgoing level comprises line level and descending level, and suspicious speech intermittently comprises continuous traffic rating of poor quality.
Speech business caller call completing rate comprises caller network insertion success rate, the calling subscriber inserts success rate and caller Alert success rate, the called call completing rate of speech business comprises called network access success rate, the called subscriber inserts success rate and called Alert success rate, SMS sends success rate and comprises SMS transmission success rate, and SMS receives success rate and comprises SMS reception success rate.
User's caller cutting off rate comprises the caller cutting off rate, and the called cutting off rate of user comprises called cutting off rate, and suspicious single-pass, the rate of passing on a message comprise the Extra-short-conversation-time bills rate.
Every index of fourth dimension degree is KQI (Key Quality Indicator) project.
Be example with QoE assessment models shown in Figure 1 below, introduce the measuring method of user's perception of the present invention, concrete steps are as follows.
Referring to Fig. 2, the crucial quality measuring method of the present invention first embodiment is shown, concrete steps are as follows:
Step S201, obtain the communication data of each Key Quality Indicator of bottom dimension in the QoE assessment models, calculate this communication data according to presetting rule again, obtain the score data of each Key Quality Indicator.
The QoE assessment models needs to obtain caller earlier and on average inserts duration as shown in Figure 1, called average access duration, user's duration of on average taking out stitches, the SMS content on average transmits duration, up speech quality, descending speech quality, last line level, descending level, continuous traffic rating of poor quality, caller network insertion success rate, the calling subscriber inserts success rate, caller Alert success rate, called network inserts success rate, the called subscriber inserts success rate, called Alert success rate, SMS sends success rate, SMS receives success rate, the caller cutting off rate, called cutting off rate, reach every crucial quality score data such as Extra-short-conversation-time bills rate.
Step 202, each Key Quality Indicator score data that will belong to a dimension multiply by the addition again of corresponding weights coefficient, obtain the score data of a dimension.
QoE assessment models is as shown in Figure 1 calculated the score of the every index of third dimension degree earlier, for example, and the up-downgoing quality=descending speech quality * K2 of up speech quality * K1+; Wherein, K1, K2 are respectively the weight coefficient of up speech quality and descending speech quality, and K1, K2 can be 0.5.
Adopt same way as, calculate the score of the every index of third dimension degree.
Step 203, the score data that will go up a dimension multiply by the addition again of corresponding weights coefficient, obtain going up the score data of a dimension again, and the like, obtain user's perception score of the superiors' dimension.
QoE assessment models as shown in Figure 1, for example, in second dimension, the service conversation quality=interrupted * K5 of up-downgoing quality evaluation * K3+ up-downgoing level assessment suspicious speech of * K4+;
Wherein K3, K4, K5 are respectively the weight coefficient of projects such as the assessment of up-downgoing quality evaluation, up-downgoing level, suspicious speech be interrupted.K3, K4, K5 can be 1/3.
In first dimension, reliability=service conversation instantaneity * K6+ service conversation quality * K7; Comfortableness=professional integrality the * of professional accessibility * K8+ K9;
Wherein, K6, K7, K8, K9 are respectively the weight coefficient of service conversation instantaneity, service conversation quality, professional accessibility and professional integrality, and K6, K7, K8, K9 can be 0.5.
Dimension upwards again, the superiors' dimension, user's perception score=reliability * K10+ comfortableness * K11.
Wherein, K10, K11 are respectively reliability and comfortableness, and K10, K11 can be 0.5.
The present invention obtains user's perception score of the superiors' dimension by above-mentioned account form successively, realizes the quantitative evaluation to client perception, reacts the perception of this user or customer group truly.
The present invention obtains the communication data of each Key Quality Indicator of bottom dimension in the QoE assessment models, according to the different in kind of each Key Quality Indicator, can adopt multiple mode.For example, the Key Quality Indicator project of selection is a voice quality, extracts the voice signal of communication, and this voice signal is analyzed, and voice signal is divided into 7 grades, calculates formula and is:
Speech quality=[RxQual (0 grade)+RxQual (1 grade)+RxQual (2 grades)+RxQual (3 grades)] * 1+[RxQual (4 grades)+RxQual (5 grades)+RxQual (6 grades)] * 0.7
Formula 1
In the formula 1, RxQual (0 grade), RxQual (1 grade), RxQual (2 grades), RxQual (3 grades), RxQual (4 grades), RxQual (5 grades), RxQual (6 grades) refer to that respectively the sample points of this grade speech quality accounts for the percentage that total sample is counted.
Again for example, the Key Quality Indicator project of selection is a coverage rate, calculates formula to be:
Coverage rate=(＞=-90dBm sampling number)/total sampling number * 100% formula 2
Again for example, the Key Quality Indicator project of selection is the caller call completing rate:
Caller call completing rate=caller network insertion success rate * calling subscriber inserts success rate * caller Alert success rate; Formula 3
Caller network insertion success rate=1-caller times of congestion/caller number of attempt formula 4
The calling subscriber inserts success rate=1-caller access failure number of times/caller number of attempt formula 5
Alert number of caller Alert success rate=caller/caller number of attempt formula 6
Again for example, the Key Quality Indicator project of selection is called call completing rate:
Called call completing rate=called network inserts success rate * called subscriber and inserts the called Alert success rate of success rate *; Formula 7
Called network inserts success rate (being the called times of congestion of 1-/called number of attempt) formula 8
The called subscriber inserts success rate (for the called access failure number of times of 1-/called number of attempt) formula 9
Called Alert success rate (being called Alert number/called number of attempt) formula 10
The present invention calculates this communication data according to presetting rule, and presetting rule can be mapping algorithm.The parameter that mapping algorithm relates to has N, K1 and K2.N is the full marks of this index; K1 is the higher limit in the communication data, and K2 is the lower limit in the communication data.Referring to Fig. 2, Fig. 3, that the communication data of KQI is higher than K1 is full marks N, and what be lower than K2 must be divided into 0 (fixed as the case may be); Communication data then is mapped between [0, N] by linear scale between K2 and K1 the time, and this algorithm is a mapping algorithm, that is:
S=N-| (N/ (K1-K2)) | * | (K1-T) | formula 11
In the formula 11, S is the final score of KQI, and T is the practical communication data.
According to formula 11, the present invention calculates voice/short message service and data service, and the concrete basis of calculation sees table 1 and following table 2.
Table 1
Table 2
More than to a kind of calculating key quality index method and system that are used for communication test provided by the present invention, be described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (11)
1, a kind of measuring method of user's perception is characterized in that, comprising:
Calculate the score data of each Key Quality Indicator of bottom dimension in user's perception assessment models respectively;
Each the Key Quality Indicator score data that belongs to a last dimension be multiply by the addition again of corresponding weights coefficient, obtain the score data of a dimension;
The score data of a last dimension be multiply by the addition again of corresponding weights coefficient, obtain going up again the score data of a dimension, and the like, user's perception score of acquisition the superiors dimension.
2, the method for claim 1 is characterized in that, is voice quality as Key Quality Indicator, and the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps:
The voice quality signal of the described customer group that detects is divided into 7 grades by signal quality;
To multiply by first coefficient after the addition of preceding 4 grade value corresponding, multiply by second coefficient after the addition of back 3 grade value corresponding, again with two product additions; Described first coefficient is greater than described second coefficient.
3, the method for claim 1 is characterized in that, is coverage rate as Key Quality Indicator, and the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps:
Detect the signal strength signal intensity of sampled signal;
Signal strength signal intensity is accounted for the ratio of total sampling odd number as coverage rate greater than the sampling number of default value.
4, the method for claim 1 is characterized in that, is the caller call completing rate as Key Quality Indicator, and the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps:
The caller network insertion success rate, the calling subscriber that detect described customer group respectively insert success rate and caller Alert success rate;
Above-mentioned caller network insertion success rate, calling subscriber are inserted success rate and caller Alert success rate multiplies each other, obtain the caller call completing rate.
5, method as claimed in claim 4 is characterized in that, described caller network insertion success rate is 1-(a caller times of congestion/caller number of attempt).
6, method as claimed in claim 4 is characterized in that, it is 1-(caller access failure number of times/caller number of attempt) that described calling subscriber inserts success rate.
7, method as claimed in claim 4 is characterized in that, described caller Alert success rate is Alert number of caller/caller number of attempt.
8, the method for claim 1 is characterized in that, is called call completing rate as Key Quality Indicator, and the score data of each Key Quality Indicator of measuring and calculating bottom dimension may further comprise the steps:
Detect respectively that called network inserts success rate, the called subscriber inserts success rate and called Alert success rate;
Above-mentioned called network is inserted success rate, called subscriber to be inserted success rate and called Alert success rate and multiplies each other and obtain called call completing rate.
9, method as claimed in claim 8 is characterized in that, it is 1-(called times of congestion/called number of attempt) that described called network inserts success rate.
10, method as claimed in claim 8 is characterized in that, it is 1-(called access failure number of times/called number of attempt) that described called subscriber inserts success rate.
11, method as claimed in claim 8 is characterized in that, described called Alert success rate is called Alert number/called number of attempt.
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| CN101951617A (en) * | 2010-08-17 | 2011-01-19 | 工业和信息化部通信计量中心 | Mobile network communication quality evaluation method based on analytic hierarchy process |
| CN102149119A (en) * | 2011-04-27 | 2011-08-10 | 浪潮通信信息系统有限公司 | Speech service quality end-to-end analyzing method |
| CN102158879A (en) * | 2011-02-24 | 2011-08-17 | 大唐移动通信设备有限公司 | Essential factor lost score data processing method and equipment |
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