CN107094207A - A kind of traffic indicator abnormal automatic testing method and its automatic detection device - Google Patents
A kind of traffic indicator abnormal automatic testing method and its automatic detection device Download PDFInfo
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- CN107094207A CN107094207A CN201710494484.3A CN201710494484A CN107094207A CN 107094207 A CN107094207 A CN 107094207A CN 201710494484 A CN201710494484 A CN 201710494484A CN 107094207 A CN107094207 A CN 107094207A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/26—Arrangements for supervision, monitoring or testing with means for applying test signals or for measuring
- H04M3/28—Automatic routine testing ; Fault testing; Installation testing; Test methods, test equipment or test arrangements therefor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2227—Quality of service monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2236—Quality of speech transmission monitoring
Abstract
The present invention discloses a kind of abnormal automatic testing method and its automatic detection device, terminal device, storage medium of traffic indicator.The abnormal automatic testing method of the traffic indicator comprises the following steps：Gather the traffic achievement data of each service line；Store the traffic achievement data of each service line collected；By the history traffic indicator data of each service line of storage, multiple history traffic indicator data fragmentations are formed according to time dimension, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；Whether according to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and shake falling-threshold value, it is abnormal data to judge the traffic indicator data；When the traffic indicator data are detected as abnormal data, after the warning content of the service line according to where the traffic indicator data is handled, the responsible object of the service line is notified.
Description
Technical field
The present invention relates to the automatic inspection of communication technical field, more particularly to a kind of traffic Indexes Abnormality for call center
Survey method and the abnormal automatic detection device of traffic indicator, terminal device, storage medium.
Background technology
Existing call center's monitor supervision platform, can be monitored to the traffic achievement data of each service line, but monitoring
Mode be typically all that various monitored item are carried out to configure one by one manually by artificial.Some possess large scale call center at present
Company as the fast development of its business is, it is necessary to the call center system and service line being monitored also exponentially upper
Rise, the method for this traditional traffic achievement data monitoring can not meet the demand of user.
Specifically, on the one hand because the curve of each service line is diversified and does not possess uniform characteristics, if for up to ten thousand
Monitored item still carry out and configure one by one manually, then the workload produced is very big and extremely inefficient, many manpowers can be wasted into
This；And the real-time and accuracy of manual configuration can not all be protected, and the promptness for subsequent treatment also result in very
Big influence.
On the other hand, each service line of call center is influenceed by a variety of objective factors, is produced more mistake and is accused.Such as part
Possess the business curve of special time (the special time such as festivals or holidays or boat change) change within the special time, can be often because non-
Operation system failure and cause traffic indicator data dithering larger, produce more mistake and accuse.And current monitoring method can not have
Filtering is accused in effect ground by mistake to these, and very big influence is also caused on the accuracy of monitoring.
The content of the invention
For defect of the prior art, it is an object of the invention to provide the automatic testing method that a kind of traffic indicator is abnormal
And the abnormal automatic detection device of traffic indicator.This touches the people that the abnormal automatic testing method of traffic indicator can be detected manually
Power cost, raising efficiency, and the real-time, accuracy and promptness of detection can also be ensured.
There is provided a kind of traffic indicator abnormal automatic testing method according to an aspect of the present invention, the traffic indicator is different
Normal automatic testing method comprises the following steps：Gather the traffic achievement data of each service line；Store each industry collected
The traffic achievement data of business line；By the history traffic indicator data of each service line of storage, form multiple according to time dimension
History traffic indicator data fragmentation, and generate under the shake ascending threshold and shake of each history traffic indicator data fragmentation
Threshold value drops；According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and
Falling-threshold value is shaken, whether judge the traffic indicator data is abnormal data；When the traffic indicator data are detected as abnormal number
According to when, after the warning content of the service line according to where the traffic indicator data is handled, notify the service line be responsible for pair
As.
Preferably, multiple history traffic indicator data fragmentations are being formed, and is generating each history traffic indicator data
Also comprise the following steps in the step of shake ascending threshold and shake falling-threshold value of burst：Choose each industry in the first period
All history traffic indicator data of business line；All history traffic indicator data to each service line of selection are suitable according to the time
Sequence carries out evenly divided for, the multiple history traffic indicator data fragmentations of formation；Obtain in each history traffic indicator data fragmentation
Jitter value between each history traffic indicator data, and generate the history traffic indicator data fragmentation shake ascending threshold and
Shake falling-threshold value.
Preferably, when multiple history traffic indicator data in the formation history traffic indicator data fragmentation are in normal state point
During cloth, also include such as in the step of generating the shake ascending threshold of the history traffic indicator data fragmentation and shake falling-threshold value
Lower step：Reject the history traffic indicator data and multiple numerical value of multiple numerical value maximums in the history traffic indicator data fragmentation most
Small history traffic indicator data；Compensate each history traffic indicator data institute retained in the history traffic indicator data fragmentation
The shake ascending threshold and shake falling-threshold value of generation, and the shake ascending threshold after compensation and shake falling-threshold value are made respectively
Shake ascending threshold and shake falling-threshold value for the history traffic indicator data fragmentation.
Preferably, reject that multiple numerical value in the history traffic indicator data fragmentation are maximum to be gone through respectively with 12.5% ratio
Historical narrative business achievement data and the minimum history traffic indicator data of multiple numerical value.
Preferably, each history traffic indicator to retain in the 30% proportional compensation history traffic indicator data fragmentation
Shake ascending threshold and shake falling-threshold value that data are generated.
Preferably, first period is 1 month or 2 months.
Preferably, also comprise the following steps in the step of whether the traffic indicator data are abnormal data is judged：Preserve
Traffic achievement data to be detected and its neighbouring continuous multiple traffic indicator data, form a traffic indicator number to be detected
According to burst；Obtain the jitter value between each traffic indicator data in the traffic achievement data burst to be detected；According to this
The period of service line and place belonging to traffic achievement data to be detected obtains corresponding history traffic indicator data
The shake ascending threshold and shake falling-threshold value of burst；Continuous multiple shakes in the traffic achievement data burst to be detected
When value exceeds the first reasonable value range, then local trend verification is carried out to the traffic achievement data burst to be detected, calculate flat
Average, and one second reasonable value range is chosen according to the jitter range of the traffic achievement data burst to be detected, wherein, first
The maximum of reasonable value range is more than the shake ascending threshold of history traffic indicator data fragmentation, and minimum value refers to less than history traffic
Mark the falling-threshold value of data fragmentation；If the traffic achievement data to be detected exceedes second reasonable value range, and this is to be detected
Traffic achievement data be considered as abnormal data.
Preferably, to traffic achievement data burst progress local trend verification to be detected, calculating average value, and according to
The condition that the jitter range of the traffic achievement data burst to be detected chooses one second reasonable data scope is：Continuous two are trembled
Dynamic value is respectively more than 2 times that shake ascending threshold or shake falling-threshold value of history traffic indicator data fragmentation；Or continuous three
Individual jitter value is respectively more than 1.8 times that shake ascending threshold or shake falling-threshold value of history traffic indicator data fragmentation.
Preferably, multiple traffic indicator numbers near the traffic achievement data of preservation and the traffic achievement data to be detected
According to sum with the traffic achievement data to be detected corresponding to service line history traffic indicator data fragmentation in history
Traffic indicator data it is total identical.
Preferably, the collection, each traffic indicator data of storage are all data in second period
Total and/or average value.
Preferably, in every service line, collection, the second period phase of each traffic indicator data decimation of storage
Together, second period is any one in 1 minute, 2 minutes, 5 minutes or 30 minutes.
According to another aspect of the present invention, also provide a kind of traffic indicator abnormal automatic detection device, the traffic
The automatic detection device of Indexes Abnormality includes：Data acquisition module, the traffic achievement data for gathering each service line；Storage
Module, is connected with the data acquisition module, the traffic achievement data for storing each service line collected；Shake point
Module is analysed, is connected with the storage module, for by the history traffic indicator data of each service line of storage, according to the time
Dimension forms multiple history traffic indicator data fragmentations, and generates the shake rising of each history traffic indicator data fragmentation
Threshold value and shake falling-threshold value；Shaking detection module, is connected with the jitter analysis module and the acquisition module respectively, uses
In the shake ascending threshold according to the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and shake
Whether falling-threshold value, it is abnormal data to judge the traffic indicator data；Alarm module, is connected with the shaking detection module,
For when the traffic indicator data are detected as abnormal data, in the alarm of the service line according to where the traffic indicator data
After appearance is handled, the responsible object of the service line is notified.
Preferably, the jitter analysis module includes：Data selecting unit, for choosing each business in the first period
All history traffic indicator data of line；Data fragmentation unit, is connected with the data selecting unit, for the every of selection
All history traffic indicator data of individual service line carry out evenly divided for, the multiple history traffic indicators of formation sequentially in time
Data fragmentation；Threshold computation unit, is connected with the data fragmentation unit, for obtaining each history traffic indicator data point
Jitter value between the history traffic indicator data of each in piece, and generate the shake rising threshold of the history traffic indicator data fragmentation
Value and shake falling-threshold value.
Preferably, when multiple history traffics that the data fragmentation unit is formed in the history traffic indicator data fragmentation
When achievement data is in normal distribution, the threshold computation unit also includes：Data culling unit, rejects the history traffic indicator number
According to the maximum history traffic indicator data of multiple numerical value in burst and the minimum history traffic indicator data of multiple numerical value；And data
Amending unit, is connected with the data culling unit, retain for compensating in the history traffic indicator data fragmentation each
Shake ascending threshold that history traffic indicator data are generated and shake falling-threshold value, and by the shake ascending threshold after compensation and
Falling-threshold value is shaken respectively as the shake ascending threshold of the history traffic indicator data fragmentation and shake falling-threshold value.
Preferably, the shaking detection module includes：Local data's storage unit, the traffic indicator to be detected for preserving
Data and its nearby continuous multiple traffic indicator data, form a traffic achievement data burst to be detected；Jitter value meter
Unit is calculated, is connected with local data's storage unit, it is each in the traffic achievement data burst to be detected for obtaining
Jitter value between individual traffic indicator data；Dithering threshold acquiring unit, is connected with local data storage unit, described to be used for
The period of service line and place according to belonging to the traffic achievement data to be detected obtains corresponding history traffic and referred to
Mark the shake ascending threshold and shake falling-threshold value of data fragmentation；Rule unit is shaken, preserves single with the local data
First, described local data storage unit is connected with the jitter value computing unit, for when the traffic indicator number to be detected
When exceeding the first reasonable value range according to continuous multiple jitter values in burst, the traffic achievement data burst to be detected is carried out
Local trend is verified, and calculates average value, and choose one second according to the jitter range of the traffic achievement data burst to be detected
Reasonable value range, wherein, the maximum of the first reasonable value range is more than the shake ascending threshold of history traffic indicator data fragmentation,
Minimum value is less than the falling-threshold value of history traffic indicator data fragmentation；Detection unit, is connected with the shake Rule unit
Connect, when the traffic achievement data to be detected exceedes second reasonable value range, the traffic achievement data to be detected is considered as
Abnormal data.
According to a further aspect of the invention, a kind of terminal device is also provided, including：Processor；And memory, storage
There is program, wherein, in the computing device described program, carry out following operate：Gather the traffic indicator of each service line
Data；Store the traffic achievement data of each service line collected；By the history traffic indicator number of each service line of storage
According to, multiple history traffic indicator data fragmentations are formed according to time dimension, and each history traffic indicator data of generation are divided
The shake ascending threshold and shake falling-threshold value of piece；According to the history traffic indicator corresponding with traffic achievement data to be detected
Whether the shake ascending threshold and shake falling-threshold value of data fragmentation, it is abnormal data to judge the traffic indicator data；When the words
When business achievement data is detected as abnormal data, the warning content of the service line according to where the traffic indicator data is handled
Afterwards, the responsible object of the service line is notified.
According to a further aspect of the invention, a kind of storage medium is also provided, for storage program, wherein, described program
When executed so that terminal device carries out following operate：Gather the traffic achievement data of each service line；What storage was collected
The traffic achievement data of each service line；By the history traffic indicator data of each service line of storage, according to time dimension shape
Into multiple history traffic indicator data fragmentations, and generate each history traffic indicator data fragmentation shake ascending threshold and
Shake falling-threshold value；Risen according to the shake of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected
Whether threshold value and shake falling-threshold value, it is abnormal data to judge the traffic indicator data；When the traffic indicator data are detected as
During abnormal data, after the warning content of the service line according to where the traffic indicator data is handled, the service line is notified
It is responsible for object.
Compared to prior art, traffic indicator provided in an embodiment of the present invention abnormal automatic testing method and traffic indicator
Abnormal automatic detection device according to time dimension by by the history traffic indicator data of each service line of storage, forming many
Individual history traffic indicator data fragmentation and shake ascending threshold and the shake for generating each history traffic indicator data fragmentation
After falling-threshold value, threshold is risen according to the shake of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected
Whether value and shake falling-threshold value, it is abnormal data to judge the traffic indicator data.And then, the abnormal automatic inspection of the traffic indicator
Survey method can be substantially reduced using the artificial human cost detected, raising efficiency in existing detection method, and in real time
Property and accuracy are obtained for effective guarantee, and the promptness for subsequent treatment serves great effect.
In addition, the abnormal automatic testing method of the traffic indicator and the abnormal automatic detection device of traffic indicator are also by protecting
Deposit multiple traffic indicator data formation one near traffic achievement data to be detected and the traffic achievement data to be detected
Traffic achievement data burst to be detected, when continuous multiple jitter values in traffic achievement data burst to be detected exceed first
During reasonable value range, local trend verification is carried out to the traffic achievement data burst to be detected, average value is calculated, and according to this
The jitter range of traffic achievement data burst to be detected chooses one second reasonable value range, only when traffic indicator to be detected
Data are just considered as abnormality detection success when exceeding second reasonable value range, therefore, abnormal traffic is significantly shaken for having
Achievement data has the Detection results of significant effective, can more efficiently reduce the mistake announcement phenomenon for falling generation after shake after rise.
Brief description of the drawings
By reading the detailed description made with reference to the following drawings to non-limiting example, further feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is a kind of flow chart of the automatic testing method of traffic indicator exception of one embodiment of the present of invention；
Fig. 2 is history of forming traffic indicator in the automatic testing method of the traffic Indexes Abnormality of one embodiment of the present of invention
The flow chart of each step of data fragmentation, generation shake ascending threshold and shake falling-threshold value；
Fig. 3 is generation shake ascending threshold in the automatic testing method of the traffic Indexes Abnormality of one embodiment of the present of invention
With the flow chart of each step of shake falling-threshold value.
Fig. 4 judges the traffic indicator number in the automatic testing method for the traffic Indexes Abnormality of one embodiment of the present of invention
According to whether be abnormal data each step flow chart；And
Fig. 5 is a kind of structural representation of the automatic detection device of traffic indicator exception of one embodiment of the present of invention.
Embodiment
Example embodiment is described more fully with referring now to accompanying drawing.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the present invention will
Fully and completely, and by the design of example embodiment those skilled in the art is comprehensively conveyed to.Identical is attached in figure
Icon note represents same or similar structure, thus will omit repetition thereof.
Described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner
In.Embodiments of the present invention are fully understood so as to provide there is provided many details in the following description.However,
One of ordinary skill in the art would recognize that, without one or more in specific detail, or using other methods, constituent element, material
Material etc., can also put into practice technical scheme.In some cases, be not shown in detail or describe known features, material or
Person's operation is fuzzy of the invention to avoid.
In addition, accompanying drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical accompanying drawing mark in figure
Note represents same or similar part, thus will omit repetition thereof.Some block diagrams shown in accompanying drawing are work(
Can entity, not necessarily must be corresponding with physically or logically independent entity.These work(can be realized using software form
Can entity, or realize in one or more hardware modules or integrated circuit these functional entitys, or at heterogeneous networks and/or place
These functional entitys are realized in reason device device and/or microcontroller device.
According to the purport design of the present invention, a kind of abnormal automatic testing method of traffic indicator of the invention includes following step
Suddenly：Gather the traffic achievement data of each service line；Store the traffic achievement data of each service line collected；By storage
The history traffic indicator data of each service line, form multiple history traffic indicator data fragmentations, and generate according to time dimension
The shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；Refer to according to traffic to be detected
The shake ascending threshold and shake falling-threshold value of the corresponding history traffic indicator data fragmentation of data are marked, the traffic indicator is judged
Whether data are abnormal data；When the traffic indicator data are detected as abnormal data, according to where the traffic indicator data
Service line warning content handled after, notify the responsible object of the service line.
The technology contents of the present invention are described further with reference to the accompanying drawings and examples.
Fig. 1 is referred to, it illustrates the automatic testing method that a kind of traffic indicator of one embodiment of the present of invention is abnormal
Flow chart.As shown in figure 1, in an embodiment of the present invention, the abnormal automatic testing method of the traffic indicator includes as follows
Step：
Step S10：Gather the traffic achievement data of each service line.Specifically, in this step, it is to exhale on a large scale
Cry the traffic achievement data (such as traffic total amount, success rate) of each service line at center by unified interface mode, press
Real-time data are gathered according to interface contract, and then, these data are sent to message queue.These data are subsequently sent to it respectively
His functional module is used to store and detect.
Step S20：Store the traffic achievement data of each service line collected.In this step, by the edge collected
All data of time series, classification storage is carried out according to different periods by polymerizeing to calculate.Specifically, storage is each
Traffic indicator data are the total and/or average value of all data in second period.In every service line, storage it is every
Second period of individual traffic indicator data decimation is identical, between each service line, and the second period of traffic indicator data decimation can
To differ.Wherein, second period can be any one in 1 minute, 2 minutes, 5 minutes or 30 minutes.For example,
For some service lines, each traffic indicator data of storage can along be in time series it is all in every 1 minute
The summation of data or it is every 1 minute in all data average value；For other service lines, each business of storage refers to
Mark data can also along the summation that is all data in time series in every 5 minutes or it is every 5 minutes in all data
Average value.And then, deposited to being stored in reliable enterprise-level of increasing income after the traffic achievement data processing of each above-mentioned service line
Among storage system.The storage system needs to support the mode of various acquisition data, so that data are used.
Step S30：By the history traffic indicator data of each service line of storage, multiple history are formed according to time dimension
Traffic indicator data fragmentation, and generate the shake ascending threshold and shake decline threshold of each history traffic indicator data fragmentation
Value.In this step, you can be used to judge whether traffic indicator data are abnormal data to be interpreted as generating in each bar service line
Shake rule.
Specifically, Fig. 2 is referred to, it illustrates the automatic detection of the traffic Indexes Abnormality of one embodiment of the present of invention
The flow of each step of history of forming traffic indicator data fragmentation, generation shake ascending threshold and shake falling-threshold value in method
Figure.As shown in Fig. 2 also comprising the following steps in above-mentioned steps S30：
Step S301：Choose all history traffic indicator data of each service line in the first period.Alternatively, first
Period is 1 month or 2 months.If to choose for the second period, as 1 minute, (each traffic indicator data stored can be along being
The summation or average value of all data in time series in every 1 minute) a service line exemplified by, then in this step,
The history traffic of every 1 minute in 2 months is chosen from all history traffic indicator data of each service line of above-mentioned storage
Achievement data, the history traffic indicator data of every 1 minute using in 2 months decline as shake ascending threshold and shake is subsequently generated
The foundation of threshold value.It should be noted that first period can be changed according to user for the requirement of accurate data,
It for example can also be the history traffic indicator data of selection 3 months or 4 months, will not be described here.
Step S302：All history traffic indicator data to each service line of selection are carried out uniformly sequentially in time
Ground is divided, and forms multiple history traffic indicator data fragmentations.Specifically, to choose for the second period, as 1 minute, (what is stored was every
Individual traffic indicator data can be along the summation or average value for being all data in time series in every 1 minute) one
, can be sequentially in time by all history traffic indicator numbers in the first period (such as above-mentioned 2 months) exemplified by service line
According to being divided (i.e. each history traffic indicator data point using every 10 data as a history traffic indicator data fragmentation
Piece includes the history traffic indicator data in 10 minutes), further, it is assumed that the service line of monitoring is in one day 24 hour, then may be used
So that the service line all history traffic indicator data of one day are divided into 144 history traffic indicator data fragmentations.Need explanation
, in other embodiments of the present invention, the history traffic indicator number that each history traffic indicator data fragmentation includes
According to quantity can change, it is not superfluous herein in this embodiment only with every 10 history traffic indicator data instance
State.
Step S303：Obtain the shake between each history traffic indicator data in each history traffic indicator data fragmentation
Value, and generate the shake ascending threshold and shake falling-threshold value of the history traffic indicator data fragmentation.Specifically, each history
Jitter value between traffic indicator data refers to along in time series, between two adjacent history traffic indicator data, along when
Between sequence, latter value subtract the difference of previous value (such as currency subtracts previous value).And then, it is above-mentioned with every 10
Data include 9 jitter values as in a history traffic indicator data fragmentation.The shake of history traffic indicator data fragmentation
Value includes rising value and drop-out value.Shake rising value refer to latter value subtract the difference of previous value for positive number value (i.e.
The value of latter history traffic indicator data is more than the value of previous history traffic indicator data)；Correspondingly, shake drop-out value is
Refer to latter value to subtract the difference of previous value (value of i.e. latter history traffic indicator data is less than previous for the value of negative
The value of history traffic indicator data).And then, shake ascending threshold can be that all same time periods are gone through in above-mentioned first period
Maximum in historical narrative business achievement data burst in all shake rising values；And it can be above-mentioned first period to shake falling-threshold value
Minimum value in all shake drop-out values of the history traffic indicator data fragmentation of interior all same time periods.With above-mentioned selection
Two periods were 1 minute, and (each traffic indicator data stored can be along being all data in time series in every 1 minute
Summation or average value) a service line exemplified by, it is assumed that all history traffics in 2 months are referred to sequentially in time
Data are marked, using 10 data as a history traffic indicator data fragmentation, then the data of one day can be divided into 144, by it
It is respectively labeled as 0-143；Wherein, the 0th is daily 0：00-0：The history traffic indicator data fragmentation of 10 periods, 2 months i.e.
Include 60 the 0th；1st is daily 0：10-0：The history traffic indicator data fragmentation of 20 periods, includes for 2 months
60 the 1st, by that analogy.Therefore, for 0：00-0：For the history traffic indicator data fragmentation of 10 periods, it is shaken
Ascending threshold is the maximum in all shake rising values in 60 the 0th, and it is in 60 the 0th that it, which shakes falling-threshold value,
Minimum value in all shake drop-out values.
Further, Fig. 3 is referred to, it illustrates the automatic detection of the traffic Indexes Abnormality of one embodiment of the present of invention
The flow chart of each step of generation shake ascending threshold and shake falling-threshold value in method.Specifically, in the reality shown in Fig. 2
Apply in example, in above-mentioned steps S302 in all history traffic indicator data fragmentations of the division of each bar service line, when any one is gone through
When multiple history traffic indicator data in historical narrative business achievement data burst are in normal distribution, then as shown in figure 3, for the history
Traffic indicator data fragmentation, generation shake ascending threshold and shake falling-threshold value the step of in also comprise the following steps：
Step S3031：Reject the maximum history traffic indicator data of multiple numerical value in the history traffic indicator data fragmentation
The minimum history traffic indicator data with multiple numerical value.Alternatively, the history traffic indicator is rejected with 12.5% ratio respectively
The maximum history traffic indicator data of multiple numerical value and the minimum history traffic indicator data of multiple numerical value in data fragmentation.Example
Such as, in using every 16 data as the embodiment of a history traffic indicator data fragmentation, then it can reject in 16 data
Two maximum values and two minimum values.Or with (such as daily 0 of same period in 2 months：00-0：10 periods)
600 data instances in the history traffic indicator data fragmentation of formation, then can reject 75 values maximum in 600 data
With 75 minimum values, it will not be described here.
Step S3032：Each history traffic indicator data retained in the history traffic indicator data fragmentation are compensated to be given birth to
Into shake ascending threshold and shake falling-threshold value, and using the shake ascending threshold after compensation and shake falling-threshold value as
The shake ascending threshold and shake falling-threshold value of the history traffic indicator data fragmentation.Alternatively, should with 30% proportional compensation
Under shake ascending threshold and shake that each history traffic indicator data retained in history traffic indicator data fragmentation are generated
Threshold value drops.Specifically, if it is same using every 16 data as a history traffic indicator data fragmentation exemplified by, it is maximum when rejecting
Two values and minimum two values after, calculate that 12 history traffic indicator data are generated in remaining 12 data trembles
Dynamic ascending threshold and shake falling-threshold value, and the shake ascending threshold that 12 history traffic indicator data are generated and
Shake falling-threshold value is compensated, such as on the basis of the shake ascending threshold that 12 history traffic indicator data are generated
Increase the 30% of the numerical value, to be used as the shake ascending threshold in the history traffic indicator data fragmentation ultimately generated；This 12
The 30% of the numerical value is subtracted on the basis of the shake falling-threshold value that individual history traffic indicator data are generated, using as ultimately generating
History traffic indicator data fragmentation in shake falling-threshold value.Above-mentioned steps S303 can be rejected in history traffic indicator data
Abnormal data caused by hindering for some reason.
Step S40：According to the shake of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected
Whether ascending threshold and shake falling-threshold value, it is abnormal data to judge the traffic indicator data.Fig. 4 is referred to, it illustrates this
Whether it is abnormal number that the traffic indicator data are judged in the automatic testing method of the traffic Indexes Abnormality of one embodiment of invention
According to each step flow chart.Specifically, the step of whether the traffic indicator data are abnormal data (i.e. step is being judged
S40 also comprise the following steps in)：
Step S401：Preserve continuous near the traffic achievement data to be detected and the traffic achievement data to be detected
Multiple traffic indicator data, form a traffic achievement data burst to be detected.Alternatively, the traffic achievement data of preservation and
The sum of multiple traffic indicator data near the traffic achievement data to be detected and the traffic achievement data institute to be detected
History traffic indicator data in the history traffic indicator data fragmentation of corresponding service line it is total identical.For example can along when
Between sequence preserve close to the traffic achievement data to be detected 10 traffic indicator data, formed a traffic to be detected refer to
Data fragmentation is marked, for carrying out shaking detection.
Step S402：Obtain the shake between each traffic indicator data in the traffic achievement data burst to be detected
Value.Specifically, in this step, each traffic in the traffic achievement data burst to be detected of above-mentioned formation is as calculated
Jitter value between achievement data.
Step S403：The period of service line and place according to belonging to the traffic achievement data to be detected obtains phase
The shake ascending threshold and shake falling-threshold value of corresponding history traffic indicator data fragmentation.Specifically, in this step, i.e.,
According to service line belonging to the traffic achievement data to be detected type and place period (for example it is specific daily
When) corresponding history traffic indicator data fragmentation is obtained, and obtain according to being somebody's turn to do obtained by above-mentioned steps S30
The shake ascending threshold and shake falling-threshold value of corresponding history traffic indicator data fragmentation.For example, the traffic to be detected refers to
It is 0 to mark the type of the service line belonging to data and the period at place：00-0：10 periods, then its corresponding history traffic refer to
Mark data fragmentation is above-mentioned the 0th by the history traffic indicator data fragmentation of formed daily 144 different time sections.
Step S404：When continuous multiple jitter values in the traffic achievement data burst to be detected exceed the first reasonable value
During scope, then local trend verification, the step of local trend is verified are carried out to the traffic achievement data burst to be detected
To calculate the average value of traffic achievement data burst to be detected, and according to the average value and traffic achievement data point to be detected
The jitter range of piece chooses one second reasonable value range.Specifically, in an embodiment of the present invention, to the traffic to be detected
Achievement data burst carries out local trend verification condition：Continuous two jitter values exceed history traffic indicator data respectively
2 times that shake ascending threshold or shake falling-threshold value of burst；Or continuous three jitter values exceed history traffic indicator respectively
1.8 times that shake ascending threshold or shake falling-threshold value of data fragmentation.Wherein, the maximum of the first reasonable value range is more than and gone through
The shake ascending threshold of historical narrative business achievement data burst, minimum value is less than the falling-threshold value of history traffic indicator data fragmentation.The
Two reasonable value ranges are average value (the calculating rows of average value of the traffic achievement data burst to be detected obtained according to calculating
Except rising point) and combine the jitter range of each jitter value formation in the traffic achievement data burst to be detected to determine,
For example, according to each jitter value in the traffic achievement data burst to be detected, determining traffic achievement data burst to be detected
In shake maximum and shake minimum value；Maximum in second zone of reasonableness is the traffic achievement data point to be detected
The average value of piece is the traffic achievement data to be detected with its minimum value shaken in maximum sum, the second zone of reasonableness
The average value of burst shakes minimum value sum with it.It should be noted that above-mentioned judgement history traffic indicator data to be detected
In burst, continue to exceed history traffic indicator data fragmentation shake ascending threshold or shake falling-threshold value jitter value quantity with
And first reasonable value range can be adjusted according to actual demand；Second reasonable value can also be carried out according to actual demand
Adjustment.The step can efficiently reduce data and the mistake announcement produced after abnormal shake by falling occurs.
Step S405：If the traffic achievement data to be detected exceed second reasonable value range, by this it is to be detected if
Business achievement data is considered as abnormal data.Specifically, obtained if the traffic achievement data to be detected exceedes in above-mentioned steps S404
The second reasonable value range taken, then be considered as abnormality detection success, and then, follow-up alarm step can be carried out.If this is to be detected
Traffic achievement data and not less than second reasonable value range, be considered as abnormality detection failure, the i.e. traffic indicator to be detected
Data are normal data, and then, the shaking detection of next traffic indicator data can be carried out.
Step S50：If the traffic indicator data are detected as abnormal data, the industry according to where the traffic indicator data
After the warning content of business line is handled, the responsible object of the service line is notified.Wherein, warning content is according to different service lines
And the different traffic achievement datas of detection are different, for example, the content that can be alerted is the service line of plane ticket booking
Traffic total amount occurs abnormal etc..The mode of subsequent notification can send the mode such as mail notification or short message to inform related service
Director.
With reference to above-mentioned Fig. 1 to embodiment illustrated in fig. 4, the abnormal automatic detection side of traffic indicator provided in an embodiment of the present invention
Method is by the way that by the history traffic indicator data of each service line of storage, multiple history traffic indicator numbers are formed according to time dimension
After shake ascending threshold and shake falling-threshold value according to burst and each history traffic indicator data fragmentation of generation, according to
The shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and shake decline threshold
Whether value, it is abnormal data to judge the traffic indicator data.And then, the abnormal automatic testing method of the traffic indicator can be significantly
Reduce and the artificial human cost detected is used in existing detection method, efficiency is improved, and real-time and accuracy are all obtained
Effective guarantee is arrived, the promptness for subsequent treatment serves great effect.
In addition, also by preserving traffic achievement data to be detected and should in the abnormal automatic testing method of the traffic indicator
Multiple traffic indicator data one traffic achievement data burst to be detected of formation near traffic achievement data to be detected, when
When continuous multiple jitter values in traffic achievement data burst to be detected exceed the first reasonable value range, to this it is to be detected if
Business achievement data burst carries out local trend verification, calculates average value, and according to the traffic achievement data burst to be detected
Jitter range chooses one second reasonable value range, only when traffic achievement data to be detected exceedes second reasonable value range
Just it is considered as abnormality detection success, therefore, significantly shakes abnormal traffic achievement data for having there is the detection of significant effective
Effect, can more efficiently reduce the mistake announcement phenomenon for falling generation after shake after rise.
Further, the present invention also provides a kind of traffic indicator abnormal automatic detection device.Fig. 5 is referred to, it shows
A kind of structural representation of the abnormal automatic detection device of the traffic indicator of one embodiment of the present of invention.The traffic indicator is different
Normal automatic detection device is mainly used in realizing the automatic testing method of the traffic Indexes Abnormality shown in above-mentioned Fig. 1 to Fig. 4.In figure
In embodiment shown in 5, the abnormal automatic detection device of the traffic indicator includes：Data acquisition module 1, storage module 2, tremble
Dynamic analysis module 3, shaking detection module 4 and alarm module 5.
Specifically, data acquisition module 1 is used for the traffic achievement data for gathering each service line.
Storage module 2 is connected with data acquisition module 1, the traffic indicator number for storing each service line collected
According to.
Jitter analysis module 3 is connected with storage module 2, for by the history traffic indicator number of each service line of storage
According to, multiple history traffic indicator data fragmentations are formed according to time dimension, and each history traffic indicator data of generation are divided
The shake ascending threshold and shake falling-threshold value of piece.
Specifically, jitter analysis module 3 includes：Data selecting unit 31, data fragmentation unit 32 and threshold calculations
Unit 33.Data selecting unit 31 is used for all history traffic indicator data for choosing each service line in the first period.Number
It is connected according to sharding unit 32 with data selecting unit 31, all history traffic indicator numbers for each service line to selection
It is evenly divided for according to carrying out sequentially in time, form multiple history traffic indicator data fragmentations.Threshold computation unit 33 and number
It is connected according to sharding unit 32, for obtaining in each history traffic indicator data fragmentation between each history traffic indicator data
Jitter value, and generate the history traffic indicator data fragmentation shake ascending threshold and shake falling-threshold value.Further, when
Multiple history traffic indicator data that the data fragmentation unit is formed in the history traffic indicator data fragmentation are in normal state point
During cloth, threshold computation unit 33 can also include：Data culling unit and data amending unit.Wherein, data culling unit is used
In rejecting in the history traffic indicator data fragmentation multiple larger history traffic indicator data respectively according to the first ratio and multiple
Smaller history traffic indicator data.Data correction unit is connected with data culling unit, for the second proportional compensation, this to be gone through
The maximum and minimum value retained in historical narrative business achievement data burst, and by the history traffic indicator data fragmentation after compensation
Maximum and minimum value respectively as the history traffic indicator data fragmentation shake ascending threshold and shake falling-threshold value.
Shaking detection module 4 is connected with jitter analysis module 3 and data acquisition module 1 respectively, for according to it is to be checked
The shake ascending threshold and shake falling-threshold value of the corresponding history traffic indicator data fragmentation of the traffic achievement data of survey, judge
Whether the traffic indicator data are abnormal data.Specifically, shaking detection module 4 includes：Local data's storage unit 41, tremble
Dynamic value computing unit 42, dithering threshold acquiring unit 43, shake Rule unit 44 and detection unit 45.
Wherein, local data's storage unit 41 is used to preserve traffic achievement data to be detected and its continuous multiple nearby
Traffic indicator data, form a traffic achievement data burst to be detected.
Jitter value computing unit 42 is connected with local data storage unit 41, for obtaining the traffic indicator to be detected
The jitter value between each traffic indicator data in data fragmentation.
Dithering threshold acquiring unit 43 is connected with local data storage unit 41, for being referred to according to the traffic to be detected
The shake that the period of service line and place belonging to mark data obtains corresponding history traffic indicator data fragmentation rises
Threshold value and shake falling-threshold value.
Shake Rule unit 44 is obtained with local data storage unit 41, jitter value computing unit 42 and dithering threshold
Unit 43 is taken to be connected, for when continuous multiple jitter values in the traffic achievement data burst to be detected are beyond first reasonable
When being worth scope, local trend verification is carried out to the traffic achievement data burst to be detected, average value is calculated, and it is to be checked according to this
The jitter range of the traffic achievement data burst of survey chooses one second reasonable value range, wherein, the maximum of the first reasonable value range
Value is more than the shake ascending threshold of history traffic indicator data fragmentation, decline of the minimum value less than history traffic indicator data fragmentation
Threshold value.
Detection unit 45 is connected with shake Rule unit 44, when the traffic achievement data to be detected exceed this
Two reasonable value ranges, abnormal data is considered as by the traffic achievement data to be detected.
Alarm module 5 is connected with shaking detection module 4, for being detected as abnormal data when the traffic indicator data
When, after the warning content of the service line according to where the traffic indicator data is handled, notify the responsible object of the service line.
Further, the present invention also provides a kind of terminal device.The terminal device can be set such as server, computer
It is standby.The terminal device includes：Processor；And memory, have program stored therein, wherein, in the computing device described program
When, carry out following operate：
Gather the traffic achievement data of each service line；
Store the traffic achievement data of each service line collected；
By the history traffic indicator data of each service line of storage, multiple history traffic indicators are formed according to time dimension
Data fragmentation, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；
According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected
Whether with shake falling-threshold value, it is abnormal data to judge the traffic indicator data；
When the traffic indicator data are detected as abnormal data, the announcement of the service line according to where the traffic indicator data
After alert content is handled, the responsible object of the service line is notified.
Further, the present invention also provides a kind of storage medium.The storage medium can refer to the devices such as hard-disc storage chip,
For storage program, wherein described program causes terminal device to perform the traffic Indexes Abnormality shown in above-mentioned Fig. 1 when executed
Automatic testing method.Specifically, described program causes terminal device to perform following steps when executed：
Described program causes terminal device to carry out following operate when executed：
Gather the traffic achievement data of each service line；
Store the traffic achievement data of each service line collected；
By the history traffic indicator data of each service line of storage, multiple history traffic indicators are formed according to time dimension
Data fragmentation, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；
According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected
Whether with shake falling-threshold value, it is abnormal data to judge the traffic indicator data；
When the traffic indicator data are detected as abnormal data, the announcement of the service line according to where the traffic indicator data
After alert content is handled, the responsible object of the service line is notified.
In summary, traffic indicator provided in an embodiment of the present invention abnormal automatic testing method and traffic indicator are abnormal
Automatic detection device is by the way that by the history traffic indicator data of each service line of storage, multiple history are formed according to time dimension
Traffic indicator data fragmentation and the shake ascending threshold and shake decline threshold for generating each history traffic indicator data fragmentation
After value, according to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and tremble
Whether dynamic falling-threshold value, it is abnormal data to judge the traffic indicator data.And then, the abnormal automatic testing method of the traffic indicator
It can substantially reduce in existing detection method using the artificial human cost detected, raising efficiency, and real-time and standard
True property is obtained for effective guarantee, and the promptness for subsequent treatment serves great effect.
In addition, the abnormal automatic testing method of the traffic indicator and the abnormal automatic detection device of traffic indicator are also by protecting
Deposit multiple traffic indicator data formation one near traffic achievement data to be detected and the traffic achievement data to be detected
Traffic achievement data burst to be detected, when continuous multiple jitter values in traffic achievement data burst to be detected exceed first
During reasonable value range, local trend verification is carried out to the traffic achievement data burst to be detected, average value is calculated, and according to this
The jitter range of traffic achievement data burst to be detected chooses one second reasonable value range, only when traffic indicator to be detected
Data are just considered as abnormality detection success when exceeding second reasonable value range, therefore, abnormal traffic is significantly shaken for having
Achievement data has the Detection results of significant effective, can more efficiently reduce the mistake announcement phenomenon for falling generation after shake after rise.
Although the present invention is disclosed as above with alternative embodiment, but it is not limited to the present invention.Belonging to of the invention
Those skilled in the art, without departing from the spirit and scope of the present invention, when various changes and modification can be made.Therefore,
Protection scope of the present invention is worked as to be defined depending on the scope that claims are defined.
Claims (17)
1. a kind of abnormal automatic testing method of traffic indicator, it is characterised in that the abnormal automatic detection side of the traffic indicator
Method comprises the following steps：
Gather the traffic achievement data of each service line；
Store the traffic achievement data of each service line collected；
By the history traffic indicator data of each service line of storage, multiple history traffic indicator data are formed according to time dimension
Burst, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；
According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and tremble
Whether dynamic falling-threshold value, it is abnormal data to judge the traffic indicator data；
When the traffic indicator data are detected as abnormal data, in the alarm of the service line according to where the traffic indicator data
After appearance is handled, the responsible object of the service line is notified.
2. the abnormal automatic testing method of traffic indicator as claimed in claim 1, it is characterised in that forming multiple history words
Business achievement data burst, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation
The step of in also comprise the following steps：
Choose all history traffic indicator data of each service line in the first period；
All history traffic indicator data of each service line of selection are carried out sequentially in time evenly divided for, formed many
Individual history traffic indicator data fragmentation；
The jitter value between each history traffic indicator data in each history traffic indicator data fragmentation is obtained, and generates this and is gone through
The shake ascending threshold and shake falling-threshold value of historical narrative business achievement data burst.
3. the abnormal automatic testing method of traffic indicator as claimed in claim 2, it is characterised in that talked about when forming the history
When the multiple history traffic indicator data being engaged in achievement data burst are in normal distribution, the history traffic indicator data point are being generated
Also comprise the following steps in the step of shake ascending threshold and shake falling-threshold value of piece：
Reject the maximum history traffic indicator data of multiple numerical value and multiple numerical value in the history traffic indicator data fragmentation minimum
History traffic indicator data；
Compensate the shake rising threshold that each history traffic indicator data retained in the history traffic indicator data fragmentation are generated
Value and shake falling-threshold value, and using the shake ascending threshold after compensation and falling-threshold value is shaken as the history traffic indicator
The shake ascending threshold and shake falling-threshold value of data fragmentation.
4. the abnormal automatic testing method of traffic indicator as claimed in claim 3, it is characterised in that with 12.5% ratio point
It is minimum that the maximum history traffic indicator data of multiple numerical value and multiple numerical value in the history traffic indicator data fragmentation are not rejected
History traffic indicator data.
5. the abnormal automatic testing method of traffic indicator as claimed in claim 3, it is characterised in that with 30% proportional compensation
Shake ascending threshold and shake that each history traffic indicator data retained in the history traffic indicator data fragmentation are generated
Falling-threshold value.
6. the abnormal automatic testing method of traffic indicator as claimed in claim 2, it is characterised in that first period is 1
Individual month or 2 months.
7. the abnormal automatic testing method of traffic indicator as claimed in claim 1, it is characterised in that judging the traffic indicator
Also comprise the following steps in the step of whether data are abnormal data：
Traffic achievement data to be detected and its neighbouring continuous multiple traffic indicator data are preserved, if formation one is to be detected
Business achievement data burst；
Obtain the jitter value between each traffic indicator data in the traffic achievement data burst to be detected；
The period of service line and place according to belonging to the traffic achievement data to be detected obtains corresponding history words
The shake ascending threshold and shake falling-threshold value of business achievement data burst；
When continuous multiple jitter values in the traffic achievement data burst to be detected exceed the first reasonable value range, then to this
Traffic achievement data burst to be detected carries out local trend verification, calculates average value, and according to the traffic indicator to be detected
The jitter range of data fragmentation chooses one second reasonable value range, wherein, the maximum of the first reasonable value range is talked about more than history
The shake ascending threshold of business achievement data burst, minimum value is less than the falling-threshold value of history traffic indicator data fragmentation；
If the traffic achievement data to be detected exceedes second reasonable value range, the traffic achievement data to be detected is considered as
Abnormal data.
8. the abnormal automatic testing method of traffic indicator as claimed in claim 7, it is characterised in that to the traffic to be detected
Achievement data burst carries out local trend verification, calculates average value, and trembling according to the traffic achievement data burst to be detected
The condition that dynamic scope chooses one second reasonable data scope is：
Continuous two jitter values are respectively more than shake ascending threshold or shake falling-threshold value the 2 of history traffic indicator data fragmentation
Times；Or
Continuous three jitter values exceed the shake ascending threshold of history traffic indicator data fragmentation or shake falling-threshold value respectively
1.8 again.
9. the abnormal automatic testing method of traffic indicator as claimed in claim 7, it is characterised in that the traffic indicator number of preservation
According to and the traffic achievement data to be detected near multiple traffic indicator data sum with the traffic indicator number to be detected
According to the total identical of the history traffic indicator data in the history traffic indicator data fragmentation of corresponding service line.
10. the abnormal automatic testing method of traffic indicator as claimed in any one of claims 1-9 wherein, it is characterised in that described
Collection, each traffic indicator data of storage are the total and/or average value of all data in second period.
11. the abnormal automatic testing method of traffic indicator as claimed in claim 10, it is characterised in that in every service line,
Collection, storage each traffic indicator data decimation second period it is identical, second period be 1 minute, 2 minutes, 5
Minute or any one in 30 minutes.
12. a kind of abnormal automatic detection device of traffic indicator, it is characterised in that the abnormal automatic detection dress of the traffic indicator
Put including：
Data acquisition module, the traffic achievement data for gathering each service line；
Storage module, is connected with the data acquisition module, the traffic indicator number for storing each service line collected
According to；
Jitter analysis module, is connected with the storage module, for by the history traffic indicator number of each service line of storage
According to, multiple history traffic indicator data fragmentations are formed according to time dimension, and each history traffic indicator data of generation are divided
The shake ascending threshold and shake falling-threshold value of piece；
Shaking detection module, is connected with the jitter analysis module and the acquisition module respectively, for according to it is to be detected
The corresponding history traffic indicator data fragmentation of traffic achievement data shake ascending threshold and shake falling-threshold value, judging should
Whether traffic indicator data are abnormal data；
Alarm module, is connected with the shaking detection module, for when the traffic indicator data are detected as abnormal data,
After the warning content of service line according to where the traffic indicator data is handled, the responsible object of the service line is notified.
13. the abnormal automatic detection device of traffic indicator as claimed in claim 12, it is characterised in that the jitter analysis mould
Block includes：
Data selecting unit, all history traffic indicator data for choosing each service line in the first period；
Data fragmentation unit, is connected with the data selecting unit, and all history for each service line to selection are talked about
Business achievement data carries out evenly divided for, the multiple history traffic indicator data fragmentations of formation sequentially in time；
Threshold computation unit, is connected with the data fragmentation unit, for obtaining in each history traffic indicator data fragmentation
Jitter value between each history traffic indicator data, and generate the history traffic indicator data fragmentation shake ascending threshold and
Shake falling-threshold value.
14. the abnormal automatic detection device of traffic indicator as claimed in claim 13, it is characterised in that when the data fragmentation
When multiple history traffic indicator data that unit is formed in the history traffic indicator data fragmentation are in normal distribution, the threshold value
Computing unit also includes：
Data culling unit, reject in the history traffic indicator data fragmentation the maximum history traffic indicator data of multiple numerical value and
The minimum history traffic indicator data of multiple numerical value；With
Data correction unit, is connected with the data culling unit, is protected for compensating in the history traffic indicator data fragmentation
Shake ascending threshold and shake falling-threshold value that each history traffic indicator data stayed are generated, and by the shake after compensation
Rise threshold value and shake falling-threshold value and decline threshold respectively as the shake ascending threshold of the history traffic indicator data fragmentation and shake
Value.
15. the abnormal automatic detection device of traffic indicator as claimed in claim 12, it is characterised in that the shaking detection mould
Block includes：
Local data's storage unit, the traffic achievement data and its neighbouring continuous multiple traffic indicator numbers to be detected for preserving
According to one traffic achievement data burst to be detected of formation；
Jitter value computing unit, is connected with local data's storage unit, for obtaining the traffic indicator number to be detected
According to the jitter value between each traffic indicator data in burst；
Dithering threshold acquiring unit, is connected with local data storage unit, described to be used for according to the traffic indicator to be detected
The shake that the period of service line and place belonging to data obtains corresponding history traffic indicator data fragmentation rises threshold
Value and shake falling-threshold value；
Rule unit is shaken, with local data's storage unit, local data's storage unit and the jitter value
Computing unit is connected, for when continuous multiple jitter values in the traffic achievement data burst to be detected are beyond first reasonable
When being worth scope, local trend verification is carried out to the traffic achievement data burst to be detected, average value is calculated, and it is to be checked according to this
The jitter range of the traffic achievement data burst of survey chooses one second reasonable value range, wherein, the maximum of the first reasonable value range
Value is more than the shake ascending threshold of history traffic indicator data fragmentation, decline of the minimum value less than history traffic indicator data fragmentation
Threshold value；
Detection unit, with it is described shake Rule unit be connected, when the traffic achievement data to be detected exceed this second
Reasonable value range, abnormal data is considered as by the traffic achievement data to be detected.
16. a kind of terminal device, including：
Processor；And
Memory, has program stored therein, wherein, in the computing device described program, carry out following operate：
Gather the traffic achievement data of each service line；
Store the traffic achievement data of each service line collected；
By the history traffic indicator data of each service line of storage, multiple history traffic indicator data are formed according to time dimension
Burst, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；
According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and tremble
Whether dynamic falling-threshold value, it is abnormal data to judge the traffic indicator data；
When the traffic indicator data are detected as abnormal data, in the alarm of the service line according to where the traffic indicator data
After appearance is handled, the responsible object of the service line is notified.
17. a kind of storage medium, for storage program, wherein, described program causes terminal device is carried out following when executed
Operation：
Gather the traffic achievement data of each service line；
Store the traffic achievement data of each service line collected；
By the history traffic indicator data of each service line of storage, multiple history traffic indicator data are formed according to time dimension
Burst, and generate the shake ascending threshold and shake falling-threshold value of each history traffic indicator data fragmentation；
According to the shake ascending threshold of the history traffic indicator data fragmentation corresponding with traffic achievement data to be detected and tremble
Whether dynamic falling-threshold value, it is abnormal data to judge the traffic indicator data；
When the traffic indicator data are detected as abnormal data, in the alarm of the service line according to where the traffic indicator data
After appearance is handled, the responsible object of the service line is notified.
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