CN109587563A - Rating fluctuation abnormal alarm method and device - Google Patents
Rating fluctuation abnormal alarm method and device Download PDFInfo
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- CN109587563A CN109587563A CN201710910863.6A CN201710910863A CN109587563A CN 109587563 A CN109587563 A CN 109587563A CN 201710910863 A CN201710910863 A CN 201710910863A CN 109587563 A CN109587563 A CN 109587563A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
Abstract
The invention discloses alarm methods and device that a kind of fluctuation of rating is abnormal, are related to data processing field.Present invention mainly solves when the TV receiving system of prior art analysis rating index fluctuation situation, analysis efficiency is low and incomplete problem.The method comprise the steps that obtaining current dimension values corresponding to the rating dimension of present level one by one according to default priority level sequence, the default priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions；According to history dimension values corresponding to the rating dimension of the present level, the normal fluctuation range of dimension values corresponding to the rating dimension of the present level is determined；If the current dimension values not in the normal fluctuation range, issue the rating based on the present level and fluctuate abnormal alarm.It the composite can be widely applied to fluctuate rating the abnormal scene for carrying out warning reminding.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to the alarm method and dress that a kind of fluctuation of rating is abnormal
It sets.
Background technique
The ratings indexs such as audience ratings, rating share are all the important indicators for assessing one grade of program same period competitiveness.In order to mention
The audience ratings of high program or channel, what the staff of TV station needed be not only obtain program or channel audience ratings and
Based on the dimension values for different rating dimensions that audience ratings calculates, such as program " golden hawk arenas " is in the receipts of Beijing's August part
Depending on share；Also need to obtain the fluctuation situation of dimension values under different rating dimensions, to find that rating fluctuates abnormal phenomenon in time,
And program or channel are adjusted according to abnormal phenomenon.
However, existing TV receiving system can only but realize the query function of the dimension values to different rating dimensions, and for
The operation for obtaining the fluctuation situation of the dimension values of these rating dimensions is all by manually by existing viewing-data and history receipts
Obtained from carrying out simple comparative analysis depending on data, not only analysis efficiency is low, and analyzes also not comprehensive.
Summary of the invention
In view of this, a kind of alarm method and device that rating fluctuation is abnormal provided by the invention, main purpose are to solve
Certainly in the prior art TV receiving system analysis rating index fluctuation situation when, analysis efficiency is low and incomplete problem.
To solve the above-mentioned problems, present invention generally provides following technical solutions:
On the one hand, the alarm method abnormal the present invention provides a kind of fluctuation of rating, this method comprises:
According to default priority level sequence, current dimension values corresponding to the rating dimension of present level, institute are obtained one by one
Stating default priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions；
According to history dimension values corresponding to the rating dimension of the present level, the rating dimension of the present level is determined
The normal fluctuation range of the corresponding dimension values of degree；
If the current dimension values not in the normal fluctuation range, issue the rating wave based on the present level
Dynamic abnormal alarm.
On the other hand, the warning device abnormal the present invention also provides a kind of fluctuation of rating, the device include:
Acquiring unit is used for according to default priority level sequence, corresponding to the rating dimension for obtaining present level one by one
Current dimension values, the default priority level are the grades according to the importance of rating dimension for the setting of different rating dimensions；
Determination unit is worked as described in determination for history dimension values corresponding to the rating dimension according to the present level
The normal fluctuation range of dimension values corresponding to the rating dimension of preceding grade；
Alarm unit is worked as issuing when the current dimension values are not in the normal fluctuation range based on described
The rating of preceding grade fluctuates abnormal alarm.
Optionally, described device further include:
Judging unit, for for present level issue based on the present level rating fluctuation abnormal alarm it
Afterwards, before being detected according to the default priority level sequence to the rating fluctuation situation of lower level, judge described current
Whether the corresponding current dimension values of grade are more than activation threshold value for detection trigger lower level；
Detection unit, when the current dimension values are more than the activation threshold value, according to the default priority level sequence
The rating fluctuation situation of the lower level is detected.
Optionally, the determination unit includes:
Module is obtained, is gone through corresponding to the rating dimension of the present level generated within a preset period of time for obtaining
History dimension values, the preset time period are made of at least one time cycle based on preset time dimension, the preset time
Dimension is a dimension in the rating dimension；
Removing module is deleted for that will generate the history dimension values in the time cycle for having rating fluctuation abnormal alarm；
Computing module calculates separately described average for calculating the average value of the history dimension values obtained after delete processing
It is worth with default fluctuation threshold and value, the difference of the average value and default fluctuation threshold；
Determining module, for determining the normal fluctuation range based on described and value and the difference；Or based on described
Maximum history dimension values and minimum history dimension values in the history dimension values obtained after delete processing, determine the normal fluctuation
Range.
Optionally, alarm unit includes:
Generation module fluctuates abnormal alarm for generating the rating based on the present level；
Sending module, for directly rating fluctuation abnormal alarm to be sent to the corresponding terminal for obtaining permission；
Or receive terminal transmission for after obtaining the acquisition request of rating surge detection result, when determining that the terminal has
When testing result obtains permission, rating fluctuation abnormal alarm is sent to the terminal.
Optionally, described device further include:
Reduction unit, if for working as after the current dimension values are not in the normal fluctuation range described in reduction
The granularity of time dimension in the rating dimension of preceding grade；
Comparison unit, for passing through current dimension values corresponding to the rating dimension after reduction time dimension granularity and going through
History dimension values compare and compare the programm name that the same period broadcasts, and determine the abnormal original of rating fluctuation
Cause, so that the reason is fed back to the terminal.
To achieve the goals above, according to another aspect of the present invention, a kind of storage medium, the storage medium are provided
Program including storage, wherein equipment where controlling the storage medium in described program operation executes as described above receive
Depending on the alarm method that fluctuation is abnormal.
To achieve the goals above, according to another aspect of the present invention, a kind of processor is provided, the processor is used for
Run program, wherein described program executes rating fluctuation as described above abnormal alarm method when running.
By above-mentioned technical proposal, technical solution provided by the invention is at least had the advantage that
Rating fluctuation provided by the invention abnormal alarm method and device, in the wave of the dimension values to each rating dimension
When emotionally condition is analyzed, without manually being compared and analyzed to existing viewing-data and history viewing-data, it is only necessary to
The normal fluctuation range of the dimension values of the rating dimension is determined according to the corresponding historical data of rating dimension to be analyzed, then again
Judge whether the current dimension values of rating dimension to be analyzed belong to normal fluctuation range and can automatically determine the rating dimension
With the presence or absence of the phenomenon that rating fluctuation is abnormal, the analysis efficiency of rating fluctuation situation is substantially increased.And the present invention can also
According to significance level to rating dimension carry out priority ranking, according to priority sequence to successively to different rating dimensions into
Row rating fluctuates situation analysis, provides comprehensive analysis of various dimensions for user.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows a kind of flow chart of alarm method that rating fluctuation is abnormal provided in an embodiment of the present invention；
Fig. 2 shows the flow charts of the abnormal alarm method of another rating fluctuation provided in an embodiment of the present invention；
Fig. 3 shows a kind of block diagram of warning device that rating fluctuation is abnormal provided in an embodiment of the present invention；
Fig. 4 shows the block diagram of the abnormal warning device of another rating fluctuation provided in an embodiment of the present invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Referring to shown in attached drawing 1, the embodiment of the invention provides the alarm method that a kind of fluctuation of rating is abnormal, this method is main
Include:
101, according to default priority level sequence, current dimension corresponding to the rating dimension of present level is obtained one by one
Value.
The default priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions.
The dimension values under various rating dimensions, example can be calculated for different rating dimensions according to original audience rating data
If original audience rating data is the minute audience ratings of Beijing TV channel, and rating dimension to be analyzed is [Beijing TV channel]
[August] [Beijing] [rating share], it is necessary to be extracted from original audience rating data and belong to Beijing TV channel August in north
Then the minute audience ratings of Jing Shi again calculates the minute audience ratings extracted, obtain the dimension of rating dimension to be analyzed
Angle value.It is that different rating dimensions is provided with different priority according to the importance of each rating dimension, when the multiple receipts of analysis
Depending on dimension rating fluctuate situation when, it is necessary to according to the priority orders of multiple rating dimensions, from highest priority
The dimension values of rating dimension start, and importance successively carries out calculating analysis to the dimension values of all rating dimensions to be analyzed, obtain
The clearly demarcated and comprehensive rating fluction analysis result to level.
102, the history dimension values according to corresponding to the rating dimension of the present level, determine the receipts of the present level
Depending on the normal fluctuation range of dimension values corresponding to dimension.
Whether analysis rating dimension has exceeded this with the presence or absence of the dimension values that the foundation of rating unusual fluctuations is rating dimension
The normal fluctuation range of dimension values illustrates that corresponding rating dimension exists if the dimension values have exceeded normal fluctuation range
The abnormal phenomenon of rating fluctuation.The normal fluctuation range of dimension values is using the corresponding history dimension values of the dimension values as reference number
According to determine its numberical range；Such as history dimension values be 1.5%, 1.6%, 1.7%, 1.5%, 1.6%, 1.9%,
1.7%, maximum value in history dimension values can be taken to take history dimension values as the upper limit of the normal fluctuation range of the dimension values
In minimum value as the dimension values normal fluctuation range lower limit, i.e. the normal fluctuation range of the dimension values is 1.5%-
1.9%.
If 103, the current dimension values are not in the normal fluctuation range, the receipts based on the present level are issued
Depending on fluctuating abnormal alarm.
If the dimension values of the rating dimension calculated are the numerical value being not belonging in the normal fluctuation range of the dimension values, so that it may
To determine the rating dimension phenomenon abnormal there is currently rating fluctuation, and then rating is issued the user with for the rating dimension
Fluctuation alarm, so that call user's attention viewership has exception.
The abnormal alarm method of rating fluctuation provided in an embodiment of the present invention, in the wave of the dimension values to each rating dimension
When emotionally condition is analyzed, without manually being compared and analyzed to existing viewing-data and history viewing-data, it is only necessary to
The normal fluctuation range of the dimension values of the rating dimension is determined according to the corresponding historical data of rating dimension to be analyzed, then again
Judge whether the current dimension values of rating dimension to be analyzed belong to normal fluctuation range and can automatically determine the rating dimension
With the presence or absence of the phenomenon that rating fluctuation is abnormal, the analysis efficiency of rating fluctuation situation is substantially increased.And the present invention can also
According to significance level to rating dimension carry out priority ranking, according to priority sequence to successively to different rating dimensions into
Row rating fluctuates situation analysis, provides comprehensive analysis of various dimensions for user.
Based on the alarm method that rating shown in FIG. 1 fluctuation is abnormal, another embodiment of the present invention further provides another
The abnormal alarm method of kind rating fluctuation, referring to shown in attached drawing 2, this method is specifically included that
201, according to default priority level sequence, current dimension corresponding to the rating dimension of present level is obtained one by one
Value.
When handling original audience rating data, it is contemplated that calculate the different bases for forming different rating dimensions
The dimension values of dimension, then when analyzing different rating dimensions, according to the dimension of the corresponding basic dimension of rating dimension
Angle value determines the dimension values of rating dimension, calculative original audience rating data when to avoid the dimension values for calculating rating dimension
Data volume it is excessive, influence the analysis efficiency of rating dimension.Basic dimension is by different time cycles, different channel dimensions
Degree, different channel group dimensions, different program dimension and form, therefore the dimension values of basic dimension be also according to it is different when
Between the period original audience rating data is polymerize for different channel dimension, different channel group dimensions, different program dimension
Obtained from calculating.According to different channel dimensions, according to different time cycle such as day, week, ten days, the moon to corresponding original point
Clock audience rating data carries out polymerization calculating, obtains the dimension values of different basic dimensions.Such as channel dimension be Beijing
Satellite TV channel, since Beijing TV channel belongs to satellite TV channel, corresponding basis dimension is exactly [channel] [day] [whole nation] [rating
Rate], [channel] [day] [town group] [audience ratings], [channel] [day] [town group] [rating share], [channel]
[week] [town group] [rating share], [channel] [ten days] [town group] [rating share], [channel] [moon] [specific city
City's group] [rating share]；Town group is the one group of city selected according to user demand, such as national 52 main cities are arranged
City be town group, the setting whole nation provincial capital be town group or all municipalities directly under the Central Government of setting are town group etc..
It is BTV science and education channel for channel dimension, since BTV science and education channel is local channel, corresponding basis dimension is exactly channel day
Beijing's rating share (i.e. [channel] [day] [local] [rating share]).When being directed to channel group dimension, corresponding basis
Dimension is [channel group] [day] [whole nation] [rating share], [channel group] [week] [whole nation] [rating share], [channel group] [ten days]
[whole nation] [rating share], [channel group] [moon] [whole nation] [rating share]；The channel that channel group includes is the need according to user
It asks and selected, such as all channels of setting Beijing TV Station form local channel group, and the institute of Chinese Central Television is arranged
CCTV channel group is formed by channel, the satellite TV channel of all TV stations in the setting whole nation form satellite TV channel group, setting except it is local frequently
The channel that all Beijing can receive other than the channel that road group includes forms nonlocal channel group.It is directed to program dimension
When, corresponding basis dimension is [program] [program broadcast slot] [whole nation] [rating share], [program] [program broadcast slot]
[Beijing] [rating share] (i.e. [program] [program broadcast slot] [local] [rating share]), [channel where program] [program
Broadcast slot] [whole nation] [audience ratings ranking].Different basis dimensions is calculated according to original audience rating data after determining basis dimension
The dimension values of degree.When analyzing different rating dimensions, the dimension of basic dimension relevant with the rating dimension is utilized
Value, obtains the dimension values of the rating dimension.Such as when analysis rating dimension [Beijing TV channel] [August] [national audience ratings],
The dimension values of the rating dimension are calculated using basic dimension [Beijing TV channel] [day] [whole nation] [audience ratings]；Analyze rating dimension
When spending [Beijing TV channel] [August is daily] [municipality directly under the Central Government's group] [audience ratings], directly from basic dimension [Beijing TV channel]
Acquisition time dimension is the daily dimension values of August part in the dimension values of [day] [municipality directly under the Central Government's group] [audience ratings].
202, history dimension values corresponding to the rating dimension of the present level generated within a preset period of time are obtained.
The preset time period is made of at least one time cycle based on preset time dimension, the preset time dimension
Degree is a dimension in the rating dimension.
Time dimension, such as rating dimension to be analyzed [Beijing TV channel] [8 are contained at least one in rating dimension
Month] time dimension that includes in [whole nation] [rating share] is August.The time dimension in rating dimension being analysed to is set as
Preset time dimension obtains rating to be analyzed in one or more time cycles using the preset time dimension as the time cycle
Then history dimension values corresponding to dimension are determining the dimension values of rating dimension to be analyzed according to these history dimension values just
Normal fluctuation range.Because in practical applications, premature data for current rating fluction analysis without reference to value, so can
To be limited according to practical application the time cycle number that preset time period includes, such as the time cycle is the moon, can be limited
Preset time period processed was at most formed by 12 months.Such as rating dimension to be analyzed [Beijing TV channel] [August] is set [entirely
State] time dimension [August] in [rating share] is preset time dimension, therefore the time cycle of preset time dimension is the moon,
Preset time period is by including forming multiple moons at least one month；When preset time period is made of 3 time cycles, rating
Dimension [Beijing TV channel] [August] [whole nation] [rating share] is corresponding using the moon as the history rating dimension of unit time cycle
Be exactly [Beijing TV channel] [July] [whole nation] [rating share], [Beijing TV channel] [June] [whole nation] [rating share],
The dimension values of [Beijing TV channel] [May] [whole nation] [rating share], above-mentioned 3 history rating dimension are history dimension
Value；It needs to obtain history dimension values according to the dimension values of original audience rating data or basic dimension, then going through further according to acquisition
History dimension values determine the normal fluctuation range of corresponding rating dimension.
203, the history dimension values generated in the time cycle for having rating fluctuation abnormal alarm are deleted.
In order to guarantee the accuracy of normal fluctuation range, need the abnormal data elimination in history dimension values.Such as it is pre-
If the period is 1 day-current period January in 2016, the time cycle for wherein issuing and having rating fluctuation abnormal alarm is rejected, is utilized
The history dimension values that the remaining time cycle generates in preset time period determine normal fluctuation range.
204, the average value for calculating the history dimension values obtained after delete processing, calculates separately the average value and default wave
Dynamic threshold value and value, the difference of the average value and default fluctuation threshold, based on described and be worth and the difference, determine it is described just
Normal fluctuation range；Or based on the maximum history dimension values and minimum history in the history dimension values obtained after the delete processing
Dimension values determine the normal fluctuation range.
After deleting the history dimension values being not belonging in history normal fluctuation range, according to remaining history dimension values
Determine normal fluctuation range, the method for determining normal fluctuation range includes following two methods:
1. determining normal fluctuation range according to the average value of history dimension values: calculating being averaged for remaining history dimension values
Value determines that normal fluctuation range is (average value-presets fluctuation threshold, average value+default fluctuation threshold) according to the average value.
Such as obtaining the corresponding history dimension values of rating dimension is that 1.9%, 1.6% and 1.5% (preset time period is by 3
The moon forms), it determines that remaining history dimension values are 1.6% and 1.5% by history normal fluctuation range 1.5%-1.8%, calculates
The average value of remaining history dimension values is (1.6%+1.5%)/2=1.55%.Default fluctuation threshold is history dimension values
0.2 times of average value, therefore maximum value=1.55%+0.2*1.55%=1.86 of normal fluctuation range, normal fluctuation range
Minimum value=1.55%-0.2*1.55%=1.24%, i.e. the normal fluctuation range of the dimension values of rating dimension is 1.24%-
1.86%.It should be noted that default fluctuation threshold can be set according to the demand of user；The method for calculating statistical average has
A variety of, the present embodiment is not construed as limiting the calculation method of average value.
2. determining normal fluctuation range according to the maximum value of history dimension values and minimum value: extracting remaining history dimension values
In maximum value and minimum value；Set the maximum value in remaining history dimension values to the maximum value of normal fluctuation range, it will
Minimum value in remaining history dimension values is set as the minimum value of normal fluctuation range, according to the maximum value of normal fluctuation range
The normal fluctuation range of the dimension values of rating dimension is determined with the minimum value of normal fluctuation range.
Such as the corresponding history dimension values of rating dimension are 1.9%, 1.6%, 1.5%, 1.4%, 1.3%, 1.8%,
1.5%, 1.2%, 1.6%, 1.8%, 1.2% and 1.5% (preset time period is to be formed by 12 months), by the positive ordinary wave of history
Dynamic range be 1.3%-1.8% determine remaining history dimension values be 1.6%, 1.5%, 1.4%, 1.4%, 1.8%,
1.5%, 1.6%, 1.8% and 1.5%, the maximum value of remaining history dimension values is 1.8%, remaining history dimension values
Minimum value is 1.4%.Therefore the normal fluctuation range of the dimension values of rating dimension is 1.4%-1.8%.It should be noted that being
The peak values of log history data, can be when obtaining the maximum value and minimum value of remaining history dimension values, while recording should
Maximum value and minimum value corresponding time cycle.
If 205, the current dimension values are not in the normal fluctuation range, reduce the rating dimension of the present level
The granularity of time dimension in degree.
If the dimension values of the rating dimension of analysis can be reduced in the rating dimension not in the normal fluctuation range
The granularity of time dimension carries out cutting processing to rating dimension, analyzes the corresponding dimension values of rating dimension after cutting
It calculates, accurately finds out rating and fluctuate the time generated extremely, fluctuate abnormal Producing reason further to analyze rating.Example
The time dimension of rating dimension [blocking cruel children channel] [July] [Beijing] [audience ratings] is such as reduced to day, obtains rating dimension
Spend the current dimension values and corresponding history dimension values of [blocking cruel children channel] [July is daily] [Beijing] [audience ratings].
206, by the way that current dimension values and history dimension values corresponding to the rating dimension after time dimension granularity will be reduced
It compares and compares the programm name that the same period broadcasts, the abnormal reason of rating fluctuation is determined, to incite somebody to action
The reason feeds back to the terminal.
Example based on above-mentioned steps, the current dimension values that will acquire and corresponding history dimension values compare, discovery 7
The dimension values of rating dimension [blocking cruel children channel] [on July -31 on the 15th is daily] [Beijing] [audience ratings] after the moon 15
All be higher than history dimension values, again reduce rating dimension [blocking cruel children channel] [July is daily] [Beijing] [audience ratings] when
Between dimension granularity, 48 periods will be cut into daily, and obtain rating dimension [blocking cruel children channel] [when on July -31 on the 15th is per
Section] [Beijing] [audience ratings] current dimension values and corresponding history dimension values, find [blocking cruel children channel] [July 15-
The 17:00-17:30 period on the 31st] [Beijing] [audience ratings] be higher than history dimension values.Therefore actual conditions are combined to carry out analysis receipts
It regards the abnormal reason of fluctuation: blocking the main group of viewers of cruel children channel as student, since July 15, student had a holiday or vacation later, July 15
The audience ratings that the audience ratings of channel increases, and increases after day is by 17:00-17:30 period bring.If the rating of analysis
Dimension includes program dimension, such as rating dimension [small Dragon Lord club programs] [July] [Beijing] [audience ratings], more into one
Step, after the time dimension of cutting rating dimension, the programm name of period same in programm name and history can be carried out
Comparison, such as find the entitled " bear for the program that 15 days -31 days small Dragon Lord club programs 17:00-17:30 period in July broadcasts
Haunt ", and before July 15 program that broadcasts of small Dragon Lord club programs 17:00-17:30 period it is entitled " happiness sheep sheep and
Ash too wolf ", the abnormal reason of analysis rating fluctuation: the audience ratings of " bear haunts " is higher than the audience ratings of " happiness sheep sheep and ash too wolf ".
If 207, the current dimension values are not in the normal fluctuation range, the receipts based on the present level are generated
Depending on fluctuating abnormal alarm.
208, directly rating fluctuation abnormal alarm is sent to the corresponding terminal for obtaining permission；Or it is receiving
To terminal send for obtaining the acquisition request of rating surge detection result after, when determining that the terminal obtains with testing result
Weighting is prescribed a time limit, and rating fluctuation abnormal alarm is sent to the terminal.
After generating the rating of rating dimension of present level fluctuation abnormal alarm, directly the rating can be fluctuated abnormal
Alarm is sent to corresponding terminal, which is the analysis result permission with the rating dimension for obtaining present level
The terminal of user；Transmission operation can also not be triggered after generating rating fluctuation abnormal alarm, have permission acquisition until receiving
Rating fluctuation abnormal alarm is just returned into terminal after analyzing the acquisition request of data of the terminal of result.
Step 205-206 and step 207-208 are parallel steps, and the execution of step 205-206 is for realizing to working as
The rating dimension of preceding priority continues to be further analyzed the rating dimension after carrying out preliminary analysis, step 207-208
Execution be for realizing based on to current priority rating dimension carry out rating fluctuation abnormal alarm, step 205-206's
It executes and the execution of step 207-208 is independent of each other, step 205-206 and step 207-208 can be executed parallel, can also be first
After execute, the present embodiment does not limit the execution of step 205-206 and step 207-208 sequence.If first carrying out step step
Rapid 205-206 executes step 207-208 again, and the rating fluctuation for sending the further analysis result for carrying rating dimension may be implemented
Abnormal alarm.
Following step be for present level issue based on the present level rating fluctuation abnormal alarm after, by
It is executed before being detected according to the default priority level sequence to the rating fluctuation situation of lower level.
Triggering the mode that the rating fluctuation situation to lower level is detected includes three kinds: 1. in the receipts to present level
After carrying out calculating analysis depending on dimension, regardless of whether the rating dimension based on present level, which carries out rating, fluctuates abnormal alarm, touch
The rating fluctuation situation of lower level is detected；2. after the rating dimension to present level carries out calculating analysis, if base
Rating is carried out in the rating dimension of present level and fluctuates abnormal alarm, then touches the rating fluctuation situation to lower level and examine
It surveys；3. after the rating dimension to present level carries out calculating analysis, if the rating dimension based on present level carries out rating wave
The dimension values of dynamic abnormal alarm and rating dimension are more than the activation threshold value of detection trigger lower level, then touching is to lower level
Rating fluctuation situation is detected.Following step is specifically described for the third mode.
209, judge whether the corresponding current dimension values of the present level are more than for detection trigger lower level
Activation threshold value.
If the dimension values of rating dimension are not belonging to the corresponding normal fluctuation range of rating dimension, the dimension is further judged
Whether angle value belongs to the range of the corresponding activation threshold value of rating dimension, when the dimension values of rating dimension are not belonging to the rating dimension
Corresponding normal fluctuation range and when being not belonging to the range of the corresponding activation threshold value of rating dimension, could trigger to next preferential
The rating dimension of grade carries out calculating analysis.If the dimension values of rating dimension are not belonging to the corresponding normal fluctuation model of the rating dimension
When enclosing but belonging to the range of the corresponding activation threshold value of rating dimension, calculate with regard to the rating dimension not to next priority and divide
Analysis, and terminate this rating fluctuation anomaly analysis.Such as the dimension values of rating dimension are 1.0%, rating dimension is corresponding normal
Fluctuation range is 1.5%-1.8%, and the range of the corresponding activation threshold value of rating dimension is 1.2%-2.2%；Because of rating dimension
Dimension values be not belonging to the corresponding normal fluctuation range of rating dimension and be not belonging to the corresponding activation threshold value of rating dimension
Range, so continuing to carry out calculating analysis to the rating dimension of next priority.Activation threshold value can be set according to actual needs,
Such as the maximum value of activation threshold value range can be 1.2 times of the maximum value of normal fluctuation range, the minimum of activation threshold value range
Value can be 0.8 times of the minimum value of normal fluctuation range, and the present embodiment is not restricted the range of activation threshold value.
If 210, the current dimension values are more than the activation threshold value, according to the default priority level sequence to described
The rating fluctuation situation of lower level is detected.
If the dimension values of the rating dimension of present level have been more than the corresponding normal fluctuation range of rating dimension and the receipts
The corresponding activation threshold value depending on dimension, then the dimension values circulation for obtaining the rating dimension of lower level execute step 202-210, continue
The rating fluctuation situation of lower level is detected.
Further, as the realization to method shown in above-mentioned Fig. 1 and Fig. 2, another embodiment of the present invention additionally provides one
The abnormal warning device of kind rating fluctuation.The Installation practice is corresponding with preceding method embodiment, is easy to read, present apparatus reality
It applies example no longer to repeat the detail content in preceding method embodiment one by one, it should be understood that the device in the present embodiment
The full content realized in preceding method embodiment can be corresponded to.
Referring to shown in attached drawing 3, the abnormal warning device of the rating fluctuation includes:
Acquiring unit 31 is used for according to default priority level sequence, corresponding to the rating dimension for obtaining present level one by one
Current dimension values, the default priority level be according to the importance of rating dimension be different rating dimensions setting grade；
Determination unit 32, for history dimension values corresponding to the rating dimension according to the present level, determine described in
The normal fluctuation range of dimension values corresponding to the rating dimension of present level；
Alarm unit 33, for issuing based on described when the current dimension values are not in the normal fluctuation range
The rating of present level fluctuates abnormal alarm.
Optionally, referring to shown in attached drawing 4, described device further include:
Judging unit 34, for for present level issue based on the present level rating fluctuation abnormal alarm it
Afterwards, before being detected according to the default priority level sequence to the rating fluctuation situation of lower level, judge described current
Whether the corresponding current dimension values of grade are more than activation threshold value for detection trigger lower level；
Detection unit 35, it is suitable according to the default priority level when the current dimension values are more than the activation threshold value
The rating fluctuation situation of lower level described in ordered pair is detected.
Optionally, referring to shown in Fig. 4, the determination unit 32 includes:
Module 321 is obtained, for obtaining corresponding to the rating dimension of the present level generated within a preset period of time
History dimension values, the preset time period is made of at least one time cycle based on preset time dimension, described default
Time dimension is a dimension in the rating dimension；
Removing module 322 is deleted for that will generate the history dimension values in the time cycle for having rating fluctuation abnormal alarm；
Computing module 323 calculates separately described flat for calculating the average value of the history dimension values obtained after delete processing
Mean value and default fluctuation threshold and be worth, the difference of the average value and default fluctuation threshold；
Determining module 324, for determining the normal fluctuation range based on described and value and the difference；Or it is based on
Maximum history dimension values and minimum history dimension values in the history dimension values obtained after the delete processing, determine described normal
Fluctuation range.
Optionally, referring to shown in attached drawing 4, the alarm unit 33 includes:
Generation module 331 fluctuates abnormal alarm for generating the rating based on the present level；
Sending module 332, for directly rating fluctuation abnormal alarm to be sent to the corresponding end for obtaining permission
End；Or receive terminal transmission for after obtaining the acquisition request of rating surge detection result, when determining the terminal
When obtaining permission with testing result, rating fluctuation abnormal alarm is sent to the terminal.
Optionally, referring to shown in Fig. 4, described device further include:
Reduction unit 36, if for after the current dimension values are not in the normal fluctuation range, described in reduction
The granularity of time dimension in the rating dimension of present level；
Comparison unit 37, for by will reduce current dimension values corresponding to the rating dimension after time dimension granularity with
History dimension values compare and compare the programm name that the same period broadcasts, and determine the abnormal original of rating fluctuation
Cause, so that the reason is fed back to the terminal.
The abnormal warning device of rating fluctuation provided in an embodiment of the present invention, in the wave of the dimension values to each rating dimension
When emotionally condition is analyzed, without manually being compared and analyzed to existing viewing-data and history viewing-data, it is only necessary to
The normal fluctuation range of the dimension values of the rating dimension is determined according to the corresponding historical data of rating dimension to be analyzed, then again
Judge whether the current dimension values of rating dimension to be analyzed belong to normal fluctuation range and can automatically determine the rating dimension
With the presence or absence of the phenomenon that rating fluctuation is abnormal, the analysis efficiency of rating fluctuation situation is substantially increased.And the present invention can also
According to significance level to rating dimension carry out priority ranking, according to priority sequence to successively to different rating dimensions into
Row rating fluctuates situation analysis, provides comprehensive analysis of various dimensions for user.
The abnormal warning device of rating fluctuation includes processor and memory, above-mentioned acquiring unit, determination unit and
Alarm unit etc. stores in memory as program unit, executes above procedure list stored in memory by processor
Member realizes corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, by adjusting kernel parameter come when solving TV receiving system analysis rating index fluctuation situation in the prior art, analysis is imitated
Rate is low and incomplete problem.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
The embodiment of the invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
The abnormal alarm method of the existing rating fluctuation.
The embodiment of the invention provides a kind of processor, the processor is for running program, wherein described program operation
The abnormal alarm method of the fluctuation of rating described in Shi Zhihang.
The embodiment of the invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of when executing program
According to default priority level sequence, current dimension values corresponding to the rating dimension of present level, institute are obtained one by one
Stating default priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions；
According to history dimension values corresponding to the rating dimension of the present level, the rating dimension of the present level is determined
The normal fluctuation range of the corresponding dimension values of degree；
If the current dimension values not in the normal fluctuation range, issue the rating wave based on the present level
Dynamic abnormal alarm.
Optionally, the method also includes:
After issuing the rating fluctuation abnormal alarm based on the present level for present level, according to described default
Before priority level sequence detects the rating fluctuation situation of lower level, judge that the present level is worked as described in corresponding
Whether preceding dimension values are more than activation threshold value for detection trigger lower level；
If the current dimension values are more than the activation threshold value, according to the default priority level sequence to described next
The rating fluctuation situation of grade is detected.
Optionally, the history dimension values according to corresponding to the rating dimension of the present level, determine the present level
Rating dimension corresponding to the normal fluctuation ranges of dimension values include:
History dimension values corresponding to the rating dimension of the present level generated within a preset period of time are obtained, it is described
Preset time period is made of at least one time cycle based on preset time dimension, and the preset time dimension is the rating
A dimension in dimension；
The history dimension values generated in the time cycle for having rating fluctuation abnormal alarm are deleted；
The average value for calculating the history dimension values obtained after delete processing calculates separately the average value and default fluctuation threshold
Be worth and value, the difference of the average value and default fluctuation threshold determine the positive ordinary wave based on described and value and the difference
Dynamic range；Or based on the maximum history dimension values and minimum history dimension in the history dimension values obtained after the delete processing
Value, determines the normal fluctuation range.
Optionally, issuing the rating fluctuation abnormal alarm based on the present level includes:
It generates the rating based on the present level and fluctuates abnormal alarm；
Directly rating fluctuation abnormal alarm is sent to the corresponding terminal for obtaining permission；Or receiving end
After holding the acquisition request for obtaining rating surge detection result sent, weighed when determining that the terminal is obtained with testing result
In limited time, rating fluctuation abnormal alarm is sent to the terminal.
Optionally, if after the current dimension values are not in the normal fluctuation range, the method also includes:
Reduce the granularity of time dimension in the rating dimension of the present level；
It is carried out by the way that current dimension values corresponding to the rating dimension after time dimension granularity and history dimension values will be reduced
Comparison and the programm name that the same period broadcasts is compared, determine the abnormal reason of rating fluctuation, so as to will be described
Reason feeds back to the terminal.
Equipment herein can be server, PC, PAD, mobile phone etc..
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program code of beginningization there are as below methods step:
1. current dimension values corresponding to the rating dimension of present level are obtained one by one according to default priority level sequence,
The default priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions.
2. determining the rating of the present level according to history dimension values corresponding to the rating dimension of the present level
The normal fluctuation range of dimension values corresponding to dimension.
3. if the current dimension values not in the normal fluctuation range, issue the rating based on the present level
Fluctuate abnormal alarm.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The above is only embodiments herein, are not intended to limit this application.To those skilled in the art,
Various changes and changes are possible in this application.It is all within the spirit and principles of the present application made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of the claims of this application.
Claims (10)
1. a kind of alarm method that rating fluctuation is abnormal, which is characterized in that the described method includes:
According to default priority level sequence, current dimension values corresponding to the rating dimension of present level are obtained one by one, it is described pre-
If priority level is the grade according to the importance of rating dimension for the setting of different rating dimensions；
According to history dimension values corresponding to the rating dimension of the present level, the rating dimension institute of the present level is determined
The normal fluctuation range of corresponding dimension values；
If it is different that the current dimension values not in the normal fluctuation range, issue the rating fluctuation based on the present level
Often alarm.
2. the method according to claim 1, wherein the method also includes:
After issuing the rating fluctuation abnormal alarm based on the present level for present level, according to described default preferential
Before hierarchal order detects the rating fluctuation situation of lower level, the corresponding leading dimension of the present level is judged
Whether angle value is more than activation threshold value for detection trigger lower level；
If the current dimension values are more than the activation threshold value, according to the default priority level sequence to the lower level
Rating fluctuation situation detected.
3. the method according to claim 1, wherein being gone through according to corresponding to the rating dimension of the present level
History dimension values determine that the normal fluctuation range of dimension values corresponding to the rating dimension of the present level includes:
History dimension values corresponding to the rating dimension of the present level generated within a preset period of time are obtained, it is described default
Period is made of at least one time cycle based on preset time dimension, and the preset time dimension is the rating dimension
In a dimension；
The history dimension values generated in the time cycle for having rating fluctuation abnormal alarm are deleted；
The average value for calculating the history dimension values obtained after delete processing calculates separately the average value and default fluctuation threshold
The normal fluctuation model is determined based on described and value and the difference with value, the difference of the average value and default fluctuation threshold
It encloses；Or based on the maximum history dimension values and minimum history dimension values in the history dimension values obtained after the delete processing,
Determine the normal fluctuation range.
4. according to the method in any one of claims 1 to 3, which is characterized in that issue the receipts based on the present level
Include: depending on fluctuation abnormal alarm
It generates the rating based on the present level and fluctuates abnormal alarm；
Directly rating fluctuation abnormal alarm is sent to the corresponding terminal for obtaining permission；Or receiving terminal hair
Send for obtaining the acquisition request of rating surge detection result after, when determining that there is the terminal testing result to obtain permission
When, rating fluctuation abnormal alarm is sent to the terminal.
5. according to the method in any one of claims 1 to 3, which is characterized in that if in the current dimension values not in institute
After stating in normal fluctuation range, the method also includes:
Reduce the granularity of time dimension in the rating dimension of the present level；
By the way that current dimension values corresponding to the rating dimension after reduction time dimension granularity and history dimension values are compared
And compare the programm name that the same period broadcasts, the abnormal reason of rating fluctuation is determined, so as to by the reason
Feed back to the terminal.
6. a kind of abnormal warning device of rating fluctuation, which is characterized in that described device includes:
Acquiring unit, for obtaining one by one current corresponding to the rating dimension of present level according to default priority level sequence
Dimension values, the default priority level are the grades according to the importance of rating dimension for the setting of different rating dimensions；
Determination unit determines described current etc. for history dimension values corresponding to the rating dimension according to the present level
The normal fluctuation range of dimension values corresponding to the rating dimension of grade；
Alarm unit is issued based on described current etc. for when the current dimension values are not in the normal fluctuation range
The rating of grade fluctuates abnormal alarm.
7. device according to claim 6, which is characterized in that described device further include:
Judging unit, for pressing after issuing the rating fluctuation abnormal alarm based on the present level for present level
Before detecting according to the default priority level sequence to the rating fluctuation situation of lower level, the present level pair is judged
Whether the current dimension values answered are more than activation threshold value for detection trigger lower level；
Detection unit, when the current dimension values are more than the activation threshold value, according to the default priority level sequence to institute
The rating fluctuation situation for stating lower level is detected.
8. device according to claim 6, which is characterized in that the determination unit includes:
Module is obtained, for obtaining the dimension of history corresponding to the rating dimension of the present level generated within a preset period of time
Angle value, the preset time period are made of at least one time cycle based on preset time dimension, the preset time dimension
It is a dimension in the rating dimension；
Removing module is deleted for that will generate the history dimension values in the time cycle for having rating fluctuation abnormal alarm；
Computing module, for calculating the average value of the history dimension values obtained after delete processing, calculate separately the average value with
Default fluctuation threshold and be worth, the difference of the average value and default fluctuation threshold；
Determining module, for determining the normal fluctuation range based on described and value and the difference；Or it is based on the deletion
Maximum history dimension values and minimum history dimension values in the history dimension values obtained after processing, determine the normal fluctuation model
It encloses.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require it is 1 different to the rating fluctuation described in any one of claim 5
Normal alarm method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit requires 1 alarm method abnormal to the rating fluctuation described in any one of claim 5.
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| CN201710910863.6A CN109587563B (en) | 2017-09-29 | 2017-09-29 | Method and device for alarming viewing fluctuation abnormity |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130339991A1 (en) * | 2012-06-14 | 2013-12-19 | Flextronics Ap, Llc | Method and system for customizing television content |
| CN104541513A (en) * | 2013-04-30 | 2015-04-22 | 尼尔森（美国）有限公司 | Methods and apparatus to determine ratings information for online media presentations |
| CN105245921A (en) * | 2011-01-20 | 2016-01-13 | Lg电子株式会社 | Digital receiver and method of providing real-time rating thereof |
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2017
- 2017-09-29 CN CN201710910863.6A patent/CN109587563B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105245921A (en) * | 2011-01-20 | 2016-01-13 | Lg电子株式会社 | Digital receiver and method of providing real-time rating thereof |
| US20130339991A1 (en) * | 2012-06-14 | 2013-12-19 | Flextronics Ap, Llc | Method and system for customizing television content |
| CN104541513A (en) * | 2013-04-30 | 2015-04-22 | 尼尔森（美国）有限公司 | Methods and apparatus to determine ratings information for online media presentations |
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