CN103840970B

CN103840970B - A kind of method and device for obtaining service operation state

Info

Publication number: CN103840970B
Application number: CN201410035890.XA
Authority: CN
Inventors: 张龙
Original assignee: ZHUHAI DUOWAN INFORMATION TECHNOLOGY Ltd
Current assignee: ZHUHAI DUOWAN INFORMATION TECHNOLOGY Ltd
Priority date: 2014-01-24
Filing date: 2014-01-24
Publication date: 2017-09-15
Anticipated expiration: 2034-01-24
Also published as: CN103840970A

Abstract

The invention discloses a kind of method and device for obtaining service operation state, belong to computer realm.This method includes：Obtain the first data, the second data and the first data acquisition system, first data are the data that business is produced in first time point, second data are the data that business is produced at the second time point, second time point was the time point before first time point, and the first data acquisition system includes the data produced at multiple time points of the business before the second time point；According to the first data, the second data and the first data acquisition system, the data fluctuations rate of first time point is calculated；According to the second data and the first data acquisition system, the data fluctuations rate at the second time point is calculated；According to the data fluctuations rate of first time point and the data fluctuations rate at the second time point, the running status of business is determined.The present invention can have found the abnormal problem that business occurs in time, and then the abnormal problem can be handled in time.

Description

A kind of method and device for obtaining service operation state

Technical field

The present invention relates to computer realm, more particularly to a kind of method and device for obtaining service operation state.

Background technology

With the development of information age, increasing business is occurred in that.It may make in the daily life of user Use some business.For example, when the business is instant messaging business, user can be communicated by the business with user； When the business is game, user can enrich free life by using the business.

Due to during the service operation it is possible that abnormal problem, for example, going out during the service operation The problems such as existing Network Abnormal or the corresponding server of the business break down.If without timely during the service operation It was found that these abnormal problems, then can not in time be handled the exception that the business occurs, and then the business is produced seriously Influence.

The content of the invention

In order to solve problem of the prior art, the embodiments of the invention provide it is a kind of obtain service operation state method and Device.The technical scheme is as follows：

On the one hand there is provided a kind of method for obtaining service operation state, methods described includes：

The first data, the second data and the first data acquisition system are obtained, first data are that business is produced in first time point Raw data, second data are the data that are produced at the second time point of the business, and second time point is described the Time point before one time point, when first data acquisition system includes multiple before second time point of the business Between put the data of generation；

According to first data, second data and first data acquisition system, the first time point is calculated Data fluctuations rate；

According to second data and first data acquisition system, the data fluctuations rate at second time point is calculated；

According to the data fluctuations rate of the first time point and the data fluctuations rate at second time point, the industry is determined The running status of business.

On the other hand there is provided a kind of device for obtaining service operation state, described device includes：

Acquisition module, for obtaining the first data, the second data and the first data acquisition system, first data are that business exists The data that first time point is produced, second data are the data that the business is produced at the second time point, when described second Between point be the first time point before time point, first data acquisition system include the business at second time point The data that multiple time points before produce；

First computing module, for according to first data, second data and first data acquisition system, calculating The data fluctuations rate of the first time point；

Second computing module, for according to second data and first data acquisition system, calculating second time The data fluctuations rate of point；

First determining module, for the data fluctuations rate according to the first time point and the data at second time point Stability bandwidth, determines the running status of the business.

In embodiments of the present invention, the first data, the second data and the first data acquisition system are obtained, according to the first data, the Two data and the first data acquisition system, calculate the data fluctuations rate of first time point, total according to the second data and the first data set Calculate the data fluctuations rate at the second time point.It is true according to the data fluctuations rate of the data fluctuations rate of first time point and the second time point The running status of the fixed business, so as to find the abnormal problem of business generation in time, and then can be in time to the exception Problem is handled.

Brief description of the drawings

Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings Accompanying drawing.

Fig. 1 is a kind of method flow diagram for acquisition service operation state that the embodiment of the present invention one is provided；

Fig. 2 is a kind of method flow diagram for acquisition service operation state that the embodiment of the present invention two is provided；

Fig. 3 is a kind of method flow diagram for acquisition service operation state that the embodiment of the present invention three is provided；

Fig. 4 is a kind of method flow diagram for acquisition service operation state that the embodiment of the present invention four is provided；

Fig. 5 is a kind of apparatus structure schematic diagram for acquisition service operation state that the embodiment of the present invention five is provided.

Embodiment

To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment party of the present invention Formula is described in further detail.

Embodiment one

The embodiments of the invention provide a kind of method for obtaining service operation state, referring to Fig. 1, this method includes：

Step 101：The first data, the second data and the first data acquisition system are obtained, the first data are business in the very first time The data that point is produced, the second data are the data that are produced at the second time point of the business, the second time point for first time point it Preceding time point, the first data acquisition system includes the data produced at multiple time points of the business before the second time point；

Step 102：According to the first data, the second data and the first data acquisition system, the data fluctuations of first time point are calculated Rate；

Step 103：According to the second data and the first data acquisition system, the data fluctuations rate at the second time point is calculated；

Step 104：According to the data fluctuations rate of first time point and the data fluctuations rate at the second time point, the business is determined Running status.

Wherein, according to the first data, the second data and the first data acquisition system, the data fluctuations rate of first time point is calculated, Including：

Temporally the data in the first data, the second data and the first data acquisition system are ranked up, the first data are obtained Sequence, calculates the weight of each data in the first data sequence；

Obtain the second data sequence from the first data sequence, the second data sequence includes N number of data of the second number and most Latter data are the first data；

The weight for each data that each data and the second data sequence included according to the second data sequence include, prediction The prediction data of first time point；

The data fluctuations rate of first time point is calculated according to the prediction data of the first data and first time point.

Wherein, the weight of each data in the first data sequence is calculated, including：

An intermediate data in the first data sequence centre position is obtained, and mediant is removed from the first data sequence According to obtaining the 3rd data sequence；

The weight of the intermediate data is set according to the first number, and the first number is the data that the first data sequence includes Number；

When each data corresponding time point in the 3rd data sequence, the first number are corresponding with the intermediate data Between point, respectively calculate the 3rd data sequence in each data weight.

Temporally the data in the second data and the first data acquisition system are ranked up, the first data sequence is obtained, predicted First prediction data, the first prediction data corresponds to the prediction data at time point for first data in the first data sequence；

Every number in the data amount check that is included according to the first data sequence, the first prediction data, the first data sequence According to the position with each data in the first data sequence, the second prediction data is predicted, the second prediction data is first time point Prediction data；

The data fluctuations rate of first time point is calculated according to the first data and the second prediction data.

Temporally the data in the first data, the second data and the first data acquisition system are ranked up, the first data are obtained Sequence, calculates the time difference between two data correspondence time points of arbitrary neighborhood in the first data sequence；

According to the time difference, determine whether include the first year-on-year data and first of the first data in the first data sequence Ring is than data and the second year-on-year data and the second ring ratio data of the second data, between the second time point and first time point Time difference is equal to a cycle length；

If the first data sequence includes the first year-on-year data, the first ring than data, the second year-on-year data and the second ring Than data, then according to the first data, the second data, the first year-on-year data, the first ring than data, the second year-on-year data and the second ring Than data, the data fluctuations rate of first time point is calculated.

Wherein, according to the time difference, determine whether include the first year-on-year data of the first data in the first data sequence With the first ring than data and the second year-on-year data and the second ring ratio data of the second data, including：

According to time difference, the 3rd time point, the 4th time point, the 5th time point and the 6th time point are determined, when the 3rd Between point for the first data the first year-on-year data corresponding time point, the 4th time point for the first data the first ring than data pair The time point answered, the 5th time point is the second year-on-year data corresponding time point of the second data, and the 6th time point was the second number According to the second ring time point more corresponding than data；

According to the 3rd time point, the 4th time point, the 5th time point and the 6th time point, judge be in the first data sequence No the first year-on-year data including the first data and the first ring are than data and the second year-on-year data of the second data and the second ring Compare data.

Wherein, according to the first data, the second data, the first year-on-year data, the first ring than data, the second year-on-year data and Two rings calculate the data fluctuations rate of first time point than data, including：

According to the first data and the second data, the data fluctuations rate of the first data is calculated；

According to the first year-on-year data and the second year-on-year data, the first year-on-year data fluctuations rate is calculated；

According to the first ring than data and the second ring ratio data, the first ring is calculated than data fluctuations rate；

Calculate the first difference between the data fluctuations rate of the first data and the first year-on-year data fluctuations rate, and calculate the The data fluctuations rate and the first ring of one data are than the second difference between data fluctuations rate；

First difference and the second difference are defined as to the data fluctuations rate of first time point.

Further, this method also includes：

If not including the first year-on-year data and/or the second year-on-year data in the first data sequence, and do not include first Ring than data, then according to the first data and the second data, calculates the data fluctuations rate of the first data than data and/or the second ring；

The data fluctuations rate of first data is defined as to the data fluctuations rate of first time point.

Further, this method also includes：

If the first data sequence includes the first year-on-year data and the second year-on-year data, and does not compare data including the first ring And/or second ring than data, then according to the first year-on-year data and the second year-on-year data, calculate the first year-on-year data fluctuations rate；

Calculate the first difference between the data fluctuations rate of the first data and the first year-on-year data fluctuations rate；

First difference is defined as to the data fluctuations rate of first time point.

Further, this method also includes：

If do not include the first year-on-year data and/or the second year-on-year data in the first data sequence, and including the first ring ratio Data and the second ring ratio data, then according to the first ring than data and the second ring ratio data, calculate the first ring than data fluctuations rate；

The data fluctuations rate and the first ring of the first data are calculated than the second difference between data fluctuations rate；

Second difference is defined as to the data fluctuations rate of first time point.

In embodiments of the present invention, the first data, the second data and the first data acquisition system are obtained, according to the first data, the Two data and the first data acquisition system, calculate the data fluctuations rate of first time point, total according to the second data and the first data set Calculate the data fluctuations rate at the second time point.Determine whether the first data are normal according to the data fluctuations rate of first time point, and Determine whether the second data are normal according to the data fluctuations rate at the second time point, according to the state that the first data are normal or abnormal Normal or abnormal state determines the running status of the business with the second data, so as to find that it is different that business occurs in time Chang Wenti, and then the abnormal problem can be handled in time.

Embodiment two

The embodiments of the invention provide a kind of method for obtaining service operation state, the method that the present embodiment is provided is applied to Data fluctuations are larger in a short time, and the more stable data of general trend.Referring to Fig. 2, this method includes：

Step 201：The first data, the second data and the first data acquisition system are obtained, the first data are business in the very first time The data that point is produced, the second data are the data that are produced at the second time point of the business, the second time point for first time point it Preceding time point, the first data acquisition system includes the data produced at multiple time points of the business before the second time point；

Specifically, the data that business is produced in first time point are obtained, the data are defined as the first data, and obtain The data are defined as the second data by the data that the business is produced at the second time point.Obtain many before the second time point The data that individual time point produces, the data that multiple time points before the second time point are produced constitute the first data acquisition system.

Wherein, the first data, the second data and the first data acquisition system can be the data that user inputs into terminal, also may be used To be data that terminal is obtained from the server of the business.

Step 202：Temporally the data in the first data, the second data and the first data acquisition system are ranked up, obtained First data sequence, calculates the weight of each data in the first data sequence；

Specifically, this step can be by as follows（1）-（4）The step of realize, including：

（1）, temporally the data in the first data, the second data and the first data acquisition system are ranked up, obtain first Data sequence；

Specifically, according to the time order and function order of the data in the first data, the second data and the first data acquisition system to the Data in one data, the second data and the first data acquisition system are ranked up, and obtain the first data sequence.Wherein, the first data Earliest data arrangement is in first position of the first data sequence the time in set, and the second data arrangement is in the first data sequence Penultimate position, the first data arrangement is in last position of the first data sequence.

（2）, obtain the first data sequence centre position an intermediate data, and from the first data sequence remove should Intermediate data obtains the 3rd data sequence；

Specifically, the first number is counted, the first number is the number for the data that the first data sequence includes, by first Number divided by 2, obtains the first numerical value.According to the first numerical value, a centrally located centre is obtained from the first data sequence Data, and the intermediate data is removed from the first data sequence, obtain the 3rd data sequence.

Wherein, according to the first numerical value, the tool of a centrally located intermediate data is obtained from the first data sequence Gymnastics is made：If the first numerical value is integer, the first numerical value is defined as intermediate data in the first data sequence Position, obtains the data of the position from the first data sequence, and the data of acquisition are defined as into intermediate data.If the first numerical value It is not integer, then the first numerical value rounds up, obtain second value, second value is defined as intermediate data in the first data Position in sequence, obtains the data of the position from the first data sequence, and the data of acquisition are defined as into intermediate data.

Further, if the first numerical value is integer, the first numerical value can also be increased by 1, third value is obtained, by the 3rd Numerical value is defined as position of the intermediate data in the first data sequence, and the data of the position are obtained from the first data sequence, will The data of acquisition are defined as intermediate data.

（3）, the weight of the intermediate data is set according to the first number, the first number is the data that the first data sequence includes Number；

Specifically, the inverse of the first number is set to the weight of the intermediate data.

（4）, each data corresponding time point in the 3rd data sequence, the first number it is corresponding with the intermediate data Time point, respectively calculate the 3rd data sequence in each data weight.

Specifically, each data corresponding time point, the first number and intermediate data in the 3rd data sequence Corresponding time point, according to equation below（1）The weight of each data in the 3rd data sequence is calculated respectively；

Wherein, in above-mentioned formula（1）In, w_iFor the weight of the data in the 3rd data sequence, s₁For the first number, cT_iFor Data corresponding time point in 3rd data sequence, zT₁For the intermediate data corresponding time point in the first data sequence.

Wherein, the data corresponding time point in the 3rd data sequence is corresponding with the intermediate data in the first data sequence Difference between time point is in units of minute.

Step 203：The second data sequence is obtained from the first data sequence, it is N number of that the second data sequence includes the second number Data and last data are the first data；

Wherein, the data that the second data sequence includes are N number of data reciprocal in the first data sequence.

Wherein, the second number N is according to the acquisition of the first number and the second number N is less than or equal to the first number.According to First number obtain the second number N the step of can be：If the first number is less than or equal to the first predetermined threshold value, by first Number is defined as the second number N., will if the first number is more than the first predetermined threshold value and less than or equal to the second predetermined threshold value Second number N is defined as 1/3rd of the first number.If the first number is more than the second predetermined threshold value, by the second number N It is defined as default value.

For example, the first predetermined threshold value can be 3, the second predetermined threshold value can be 21, and default value can be 7.If the One number is less than or equal to 3, then the first number is defined as into the second number N.If the first number is more than 3 and is less than or equal to 21, then the second number N is defined as 1/3rd of the first number.If the first number is more than 21, the second number N is determined For 7.

Step 204：Each data that each data and the second data sequence included according to the second data sequence include Weight, predicts the prediction data of first time point；

Specifically, the power for each data that each data and the second data sequence included according to the second data sequence include Weight, according to equation below（2）Predict the prediction data of first time point；

Wherein, in above-mentioned formula（2）In, y₁For the prediction data of first time point, x_jFor the jth in the second data sequence Individual data, w_jFor the weight of j-th of data in the second data sequence, N is the number for the data that the second data sequence includes, i.e., Second number N.

Step 205：The data fluctuations rate of first time point is calculated according to the prediction data of the first data and first time point；

Specifically, the data difference between the first data and the prediction data of first time point is calculated, by the data difference Divided by first data, obtain the data fluctuations rate of first time point.

Further, the prediction data and the 4th data at each data corresponding time point in the 4th data sequence Each data in sequence, calculate first and refer to stability bandwidth, the 4th data sequence by the n-th data in the first data sequence with And the data composition after n-th data；

Specifically, the prediction data and the 4th data sequence at each data corresponding time point in the 4th data sequence Each data in row, calculate the data fluctuations rate of each data in the 4th data sequence respectively.From the 4th data sequence bag The data fluctuations rate and minimum data fluctuations rate of maximum are removed in the data fluctuations rate of the data included, by remaining data fluctuations Rate is added, and will add up the number of obtained numerical value divided by remaining data fluctuations rate, obtains the first average stability bandwidth.If First average stability bandwidth is less than or equal to default stability bandwidth, then default stability bandwidth is defined as into first and refers to stability bandwidth；Such as Really the first average stability bandwidth is more than default stability bandwidth, then according to the weight of default stability bandwidth and the power of the first average stability bandwidth Weight, calculates first and refers to stability bandwidth.

Wherein, the prediction data at each data corresponding time point in the 4th data sequence can according to each data and The weight of N-1 data before N-1 data before the data, and the weight and the data of each data, according to upper State formula（2）Calculate.For example, the prediction data at the n-th data corresponding time point in the 4th data sequence can be according to Data in four data sequences before n-th data and n-th data and before the weight and n-th data of n-th data The weight calculations of data obtain.For another example the prediction at last data corresponding time point in the 4th data sequence Data can according to N-1 data before last data in the 4th data sequence and last data and most What the weight calculation of N-1 data before the weight of latter data and last data was obtained.

Wherein, the prediction data and the 4th data sequence at each data corresponding time point in the 4th data sequence In each data, the concrete operations of data fluctuations rate of each data in the 4th data sequence are calculated respectively to be：Meter Calculate each data corresponding time point in the 4th data sequence prediction data and each data in the 4th data sequence it Between difference, by every number of the corresponding difference of each data in the 4th data sequence respectively divided by the 4th data sequence According to obtaining the corresponding data fluctuations rate of each data in the 4th data sequence.

Wherein, according to the weight of default stability bandwidth and the weight calculation first of the first average stability bandwidth with reference to stability bandwidth Concrete operations can be：By the multiplied by weight of default stability bandwidth and default stability bandwidth, the 4th numerical value is obtained, first is averaged The multiplied by weight of stability bandwidth and the first average stability bandwidth, obtains the 5th numerical value.4th numerical value is added with the 5th numerical value, is obtained One refers to stability bandwidth.

Wherein, the weight of default stability bandwidth and the first weight sum for being averaged stability bandwidth are 1.For example, default fluctuation The weight of rate can be 0.8, and the weight of the first average stability bandwidth can be 0.2.

Step 206：According to the second data and the first data acquisition system, the data fluctuations rate at the second time point is calculated；

Specifically, this step can be by as follows（A）-（D）The step of realize, including：

（A）, temporally the data in the second data and the first data acquisition system are ranked up, obtain the 5th data sequence, Calculate the weight of each data in the 5th data sequence；

（1）, temporally the data in the second data and the first data acquisition system are ranked up, obtain the 5th data sequence；

Specifically, according to the time order and function order of the data in the second data and the first data acquisition system to the second data and the Data in one data acquisition system are ranked up, and obtain the 5th data sequence.Wherein, time earliest data in the first data acquisition system First position of the 5th data sequence is arranged in, the second data arrangement is in last position of the 5th data sequence.

（2）, obtain the 5th data sequence centre position an intermediate data, and from the 5th data sequence remove should Intermediate data obtains the 6th data sequence；

Specifically, the 3rd number is counted, the 3rd number is the number for the data that the 5th data sequence includes, by the 3rd Number divided by 2, obtains the 6th numerical value.According to the 6th numerical value, a centrally located centre is obtained from the 5th data sequence Data, and the intermediate data is removed from the 5th data sequence, obtain the 6th data sequence.

Wherein, according to the 6th numerical value, the tool of a centrally located intermediate data is obtained from the 5th data sequence Gymnastics is made：If the 6th numerical value is integer, the 6th numerical value is defined as intermediate data in the 5th data sequence Position, obtains the data of the position from the 5th data sequence, and the data of acquisition are defined as into intermediate data.If the 6th numerical value It is not integer, then the 6th numerical value rounds up, obtain the 7th numerical value, the 7th numerical value is defined as intermediate data in the 5th data Position in sequence, obtains the data of the position from the 5th data sequence, and the data of acquisition are defined as into intermediate data.

Further, if the 6th numerical value is integer, the 6th numerical value can also be increased by 1, the 8th numerical value is obtained, by the 8th Numerical value is defined as position of the intermediate data in the 5th data sequence, and the data of the position are obtained from the 5th data sequence, will The data of acquisition are defined as intermediate data.

（3）, the weight of the intermediate data is set according to the 3rd number, the 3rd number is the data that the 5th data sequence includes Number；

Specifically, the inverse of the 3rd number is set to the weight of the intermediate data.

（4）, each data corresponding time point in the 6th data sequence, the 3rd number it is corresponding with the intermediate data Time point, respectively calculate the 6th data sequence in each data weight.

Specifically, each data corresponding time point, the 3rd number and intermediate data in the 6th data sequence Corresponding time point, according to equation below（3）The weight of each data in the 6th data sequence is calculated respectively；

Wherein, in above-mentioned formula（3）In, w_iFor the weight of the data in the 6th data sequence, s₂For the 3rd number, cT_iFor Data corresponding time point in 6th data sequence, zT₂For the intermediate data corresponding time point in the 5th data sequence.

Wherein, the data corresponding time point in the 6th data sequence is corresponding with the intermediate data in the 5th data sequence Difference between time point is in units of minute.

（B）, from the 5th data sequence obtain the 7th data sequence, the 7th data sequence include the 4th M data of number And last data is the second data；

Wherein, the data that the 7th data sequence includes are M data reciprocal in the 5th data sequence.

Wherein, the 4th number M is according to the acquisition of the 3rd number and the 4th number M is less than or equal to the 3rd number.According to 3rd number obtain the 4th number M the step of can be：If the 3rd number is less than or equal to the first predetermined threshold value, by the 3rd Number is defined as the 4th number M., will if the 3rd number is more than the first predetermined threshold value and less than or equal to the second predetermined threshold value 4th number M is defined as 1/3rd of the 3rd number.If the 3rd number is more than the second predetermined threshold value, by the 4th number M It is defined as default value.

For example, the first predetermined threshold value can be 3, the second predetermined threshold value can be 21, and default value can be 7.If the Three numbers are less than or equal to 3, then the 3rd number are defined as into the 4th number M.If the 3rd number is more than 3 and is less than or equal to 21, then the 4th number M is defined as 1/3rd of the 3rd number.If the 3rd number is more than 21, the 4th number M is determined For 7.

（C）, the weight of each data that includes of each data and the 7th data sequence that are included according to the 7th data sequence, Predict the prediction data at the second time point；

Specifically, the power for each data that each data and the 7th data sequence included according to the 7th data sequence include Weight, according to equation below（4）Predict the prediction data at the second time point；

Wherein, in above-mentioned formula（4）In, y₂For the prediction data at the second time point, x_jFor the jth in the 7th data sequence Individual data, w_jFor the weight of j-th of data in the 7th data sequence, M is the number for the data that the 7th data sequence includes, i.e., 4th number M.

（D）, calculate according to the second data and the prediction data at the second time point the data fluctuations rate at the second time point；

Specifically, the data difference between the second data and the prediction data at the second time point is calculated, by the data difference Divided by second data, obtain the data fluctuations rate at the second time point.

Further, the prediction data and the 8th data at each data corresponding time point in the 8th data sequence Each data in sequence, calculate second and refer to stability bandwidth, the 8th data sequence by the m-th data in the 5th data sequence with And the data composition after m-th data；

Specifically, the prediction data and the 8th data sequence at each data corresponding time point in the 8th data sequence Each data in row, calculate the data fluctuations rate of each data in the 8th data sequence respectively.From the 8th data sequence Including data data fluctuations rate in remove the data fluctuations rate and minimum data fluctuations rate of maximum, by remaining data wave Dynamic rate is added, and will add up the number of obtained numerical value divided by remaining data fluctuations rate, obtains the second average stability bandwidth.Such as Really the second average stability bandwidth is less than or equal to default stability bandwidth, then default stability bandwidth is defined as into second and refers to stability bandwidth； If the second average stability bandwidth is more than default stability bandwidth, according to the weight of default stability bandwidth and the second average stability bandwidth Weight, calculates second and refers to stability bandwidth.

Wherein, the prediction data at each data corresponding time point in the 8th data sequence can according to each data and The weight of M-1 data before M-1 data before the data, and the weight and the data of each data, according to upper State formula（4）Calculate.For example, the prediction data at the m-th data corresponding time point in the 8th data sequence can be according to Data in eight data sequences before m-th data and m-th data and before the weight and m-th data of m-th data The weight calculations of data obtain.For another example the prediction at last data corresponding time point in the 8th data sequence Data can according to M-1 data before last data in the 8th data sequence and last data and most What the weight calculation of M-1 data before the weight of latter data and last data was obtained.

Wherein, the prediction data and the 8th data sequence at each data corresponding time point in the 8th data sequence In each data, the concrete operations of data fluctuations rate of each data in the 8th data sequence are calculated respectively to be：Meter Calculate each data corresponding time point in the 8th data sequence prediction data and each data in the 8th data sequence it Between difference, by every number of the corresponding difference of each data in the 8th data sequence respectively divided by the 8th data sequence According to obtaining the corresponding data fluctuations rate of each data in the 8th data sequence.

Wherein, according to the weight of default stability bandwidth and the weight calculation second of the second average stability bandwidth with reference to stability bandwidth Concrete operations can be：By the multiplied by weight of default stability bandwidth and default stability bandwidth, the 9th numerical value is obtained, second is averaged The multiplied by weight of stability bandwidth and the second average stability bandwidth, obtains the tenth numerical value.9th numerical value is added with the tenth numerical value, is obtained Two refer to stability bandwidth.

Wherein, the weight of default stability bandwidth and the second weight sum for being averaged stability bandwidth are 1.For example, default fluctuation The weight of rate can be 0.8, and the weight of the second average stability bandwidth can be 0.2.

Step 207：According to the data fluctuations rate of first time point and the data fluctuations rate at the second time point, the business is determined Running status.

Specifically, if the data fluctuations rate of first time point, which is more than first, refers to stability bandwidth and the data at the second time point Stability bandwidth refers to stability bandwidth more than second, it is determined that the running status of the business is persistent anomaly state；If first time point Data fluctuations rate be more than first and be less than or equal to second with reference to fluctuation with reference to stability bandwidth and the data fluctuations rate at the second time point Rate, it is determined that the running status of the business is abnormality；If the data fluctuations rate of first time point is less than or equal to first More than second stability bandwidth is referred to reference to the data fluctuations rate at stability bandwidth and the second time point, it is determined that the running status of the business is Recover normal condition；If the data fluctuations rate of first time point is less than or equal to first with reference to stability bandwidth and the second time point Data fluctuations rate refers to stability bandwidth less than or equal to second, it is determined that the running status of the business is normal condition.

Wherein, if the data fluctuations rate of first time point refers to stability bandwidth more than first, it is determined that the first data are present It is abnormal, otherwise, it determines the first data are normal.If the data fluctuations rate at the second time point refers to stability bandwidth more than second, really There is exception in fixed second data, otherwise, it determines the second data are normal.

Embodiment three

The embodiments of the invention provide a kind of method for obtaining service operation state, method provided in an embodiment of the present invention is fitted Do not changed significantly for the data in the first data, the second data and the first data acquisition system, or have it is obvious rise or Person declines the data of variation tendency.Referring to Fig. 3, this method includes：

Step 301：The first data, the second data and the first data acquisition system are obtained, the first data are business in the very first time The data that point is produced, the second data are the data that are produced at the second time point of the business, the second time point for first time point it Preceding time point, the first data acquisition system includes the data produced at multiple time points of the business before the second time point；

Step 302：Temporally the data in the second data and the first data acquisition system are ranked up, the first data sequence is obtained Row, predict the first prediction data, and the first prediction data corresponds to the prediction at time point for first data in the first data sequence Data；

Specifically, temporally the data in the second data and the first data acquisition system are ranked up, obtain the first data sequence Row.First data is obtained from the first data sequence, according to first data, according to equation below（1）First is calculated to predict Data；

Wherein, in above-mentioned formula（1）In, y₁For the first prediction data, x₁For first data in the first data sequence, d For default undulating value.

Wherein, according to the time order and function order of the data in the second data and the first data acquisition system to the second data and first Data in data acquisition system are ranked up, and obtain the first data sequence.Wherein, in the first data acquisition system the time it is earliest data row First position of the first data sequence is listed in, the second data arrangement is in last position of the first data sequence.

Step 303：In the data amount check that is included according to the first data sequence, the first prediction data, the first data sequence Position in the first data sequence of each data and each data, predict the second prediction data, the second prediction data is the The prediction data at one time point；

Specifically, in the data amount check that is included according to the first data sequence, the first prediction data, the first data sequence The each position of data and each data in the first data sequence, according to equation below（2）Predict the second prediction data；

Wherein, in above-mentioned formula（2）In, y_t+1For the second prediction data, t is the data that the first data sequence includes Number, y₁For the first prediction data, x_iFor i-th of data in the first data sequence, i is data in the first data sequence the Position in one data sequence, a is smoothing factor, and 0≤a≤1.

Wherein, smoothing factor can be one selected from multiple default values set in advance or prior Default value, smoothing factor is defined as by the default value of selection.

Wherein, a default value is selected from multiple default values in advance, the default value of selection is defined as smoothly The concrete operations of coefficient can be：Multiple default values are identified as above-mentioned formula（2）In smoothing factor, according to multiple Data amount check that default value, the first data sequence include, the first prediction data, each data in the first data sequence and Each position of the data in the first data sequence, according to above-mentioned formula（2）Each default value corresponding second is calculated respectively Prediction data, according to corresponding second prediction data of each default value and the first data, calculates each default value corresponding The data fluctuations rate of first data.Corresponding second prediction data of data fluctuations rate of the first minimum data is selected, will be calculated The default value of second prediction data is defined as smoothing factor.

For example, the plurality of default value can be 0.01,0.02,0.03 ... 0.99 99 numerical value of grade.

Step 304：The data fluctuations rate of first time point is calculated according to the first data and the second prediction data；

Specifically, the difference between the first data and the second prediction data is calculated, the difference divided by the first data are obtained The data fluctuations rate of first time point.

Step 305：According to the second data and the first data acquisition system, the data fluctuations rate at the second time point is calculated；

Specifically, temporally the data in the first data acquisition system are ranked up, obtain the second data sequence.According to second Data amount check, the first prediction data, each data in the second data sequence and each data that data sequence includes are Position in two data sequences, predicts the 3rd prediction data, and the 3rd prediction data is the prediction data at the second time point.According to Two data and the 3rd prediction data calculate the data fluctuations rate at the second time point.

Wherein, the data in the first data acquisition system are carried out according to the time order and function order of the data in the first data acquisition system Sequence, obtains the second data sequence.Wherein, in the first data acquisition system time earliest data arrangement the of the second data sequence The data arrangement of time the latest is in last position of the second data sequence in one position, the first data acquisition system.

Wherein, it is every in the data amount check that is included according to the second data sequence, the first prediction data, the second data sequence The position of individual data and each data in the second data sequence, predicting the concrete operations of the 3rd prediction data can be：According to Data amount check that second data sequence includes, the first prediction data, each data and each data in the second data sequence Position in the second data sequence, according to equation below（3）Predict the 3rd prediction data；

Wherein, in above-mentioned formula（3）In, y_h+1For the 3rd prediction data, h is the data that the second data sequence includes Number, y₁For the first prediction data, x_iFor i-th of data in the second data sequence, i is data in the second data sequence the Position in two data sequences, a is smoothing factor, and 0≤a≤1.

Wherein, the concrete operations for the data fluctuations rate for calculating for the second time point according to the second data and the 3rd prediction data can Think：The difference between the second data and the 3rd prediction data is calculated, by the difference divided by the second data, obtained for the second time point Data fluctuations rate.

Step 306：According to the data fluctuations rate of first time point and the data fluctuations rate at the second time point, the business is determined Running status.

Specifically, if the data fluctuations rate of first time point, which is more than, refers to stability bandwidth and the data fluctuations at the second time point Rate, which is more than, refers to stability bandwidth, it is determined that the running status of the business is persistent anomaly state；If the data wave of first time point Dynamic rate, which is more than to be less than or equal to reference to stability bandwidth and the data fluctuations rate at the second time point, refers to stability bandwidth, it is determined that the business Running status is abnormality；If the data fluctuations rate of first time point, which is less than or equal to, refers to stability bandwidth and the second time point Data fluctuations rate be more than refer to stability bandwidth, it is determined that the running status of the business for recover normal condition；If the very first time The data fluctuations rate of point is less than or equal to reference stability bandwidth and the data fluctuations rate at the second time point is less than or equal to reference and fluctuated Rate, it is determined that the running status of the business is normal condition.

Wherein, if the data fluctuations rate of first time point, which is more than, refers to stability bandwidth, it is determined that the first data have exception, Otherwise, it determines the first data are normal.If the data fluctuations rate at the second time point, which is more than, refers to stability bandwidth, it is determined that the second data In the presence of exception, otherwise, it determines the second data are normal.

Example IV

The embodiments of the invention provide a kind of method for obtaining service operation state, method provided in an embodiment of the present invention is fitted For at least there are the first data and the second data in the first data acquisition system.Referring to Fig. 4, this method includes：

Step 401：The first data, the second data and the first data acquisition system are obtained, the first data are business in the very first time The data that point is produced, the second data are the data that are produced at the second time point of the business, the second time point for first time point it Preceding time point, the time difference between the second time point and first time point is equal to a cycle length, the first data acquisition system The data that multiple time points including the business before the second time point produce；

Specifically, the data that business is produced in first time point are obtained, the data are defined as the first data, and obtain The data are defined as the second data by the data that the business is produced at the second time point.Obtain many before the second time point The data that individual time point produces, the data that multiple time points before first time point are produced constitute the first data acquisition system.

Step 402：Temporally the data in the first data, the second data and the first data acquisition system are ranked up, obtained First data sequence, calculates the time difference between two data correspondence time points of arbitrary neighborhood in the first data sequence；

Specifically, temporally the data in the first data, the second data and the first data acquisition system are ranked up, obtain One data sequence.A data are randomly choosed from the first data sequence, a data adjacent with the data selected, meter are obtained Time difference between the time point corresponding with adjacent data at data corresponding time point for calculating selection.

Wherein, a data adjacent with the data of selection can be before the data of selection and adjacent with the data of selection A data, or after the data of selection and a data adjacent with the data of selection.

Step 403：According to the time difference, the 3rd time point, the 4th time point, the 5th time point and the 6th time are determined Point, the 3rd time point is the first year-on-year data corresponding time point of the first data, and the 4th time point was the first of the first data Ring time point more corresponding than data, the 5th time point is the second year-on-year data corresponding time point of the second data, the 6th time Point is the second ring time point more corresponding than data of the second data；

Specifically, this step can be divided into following three kinds of situations, including：

If the first, the time difference be less than predetermined threshold value, by before first time point and with first time point it Between time difference be defined as the 3rd time point for the first predetermined number Cycle Length corresponding time point；By first time point Time difference before and between first time point was defined as the 4th time point for the time point of a cycle length.By second Time difference before time point and between the second time point is true for the first predetermined number Cycle Length corresponding time point It was set to for the 5th time point；By the time difference before the second time point and between the second time point for a cycle length when Between point be defined as the 6th time point.

Wherein, predetermined threshold value, Cycle Length and the first predetermined number can in advance be set for technical staff.For example, pre- If threshold value can be day, i.e., 24 hour, Cycle Length can also be day, and the first predetermined number can be 7.

If the second, the time difference be equal to predetermined threshold value, by before first time point and with first time point it Between time difference be defined as the 3rd time point for the second predetermined number Cycle Length corresponding time point；By first time point Time difference before and between first time point is defined as for the first predetermined number Cycle Length corresponding time point Four time points.It is the second predetermined number Cycle Length by the time difference before the second time point and between the second time point Corresponding time point was defined as the 5th time point；It is the by the time difference before the second time point and between the second time point One predetermined number Cycle Length corresponding time point was defined as the 6th time point.

Wherein, the second predetermined number can also in advance be set for technical staff.For example, the second predetermined number can be 30。

If the third, the time difference be more than predetermined threshold value, by before first time point and with first time point it Between time difference be defined as the 4th time point for the 3rd predetermined number Cycle Length corresponding time point；By the second time point Time difference before and between the second time point is defined as for the 3rd predetermined number Cycle Length corresponding time point Six time points.

Wherein, when the time difference is more than predetermined threshold value, the first year-on-year data and the second year-on-year data are not considered, directly Determine the first ring than data and the second ring ratio data corresponding time point.

Wherein, the 3rd predetermined number can in advance be set for technical staff.For example, the 3rd predetermined number can be 49.

Step 404：According to the 3rd time point, the 4th time point, the 5th time point and the 6th time point, the first data are judged Whether the first year-on-year data and first ring of first data are included in sequence than data and the second year-on-year data of the second data Compare data with the second ring；

Specifically, judge in the first data sequence whether to include the 3rd time point corresponding data, if including from the The 3rd time point corresponding data are obtained in one data sequence, the 3rd time point corresponding data are defined as the of the first data One year-on-year data, otherwise, it determines not including the first year-on-year data of the first data in the first data sequence.Judge the first data sequence Whether include the 4th time point corresponding data in row, if including obtaining for the 4th time point pair from the first data sequence 4th time point corresponding data are defined as the first ring of the first data than data, otherwise, it determines the first data by the data answered The first ring for not including the first data in sequence compares data.Judge whether corresponding including the 5th time point in the first data sequence Data, if including the 5th time point corresponding data being obtained from the first data sequence, by the 5th time point corresponding number According to the be defined as the second data second year-on-year data, otherwise, it determines do not include the second data in the first data sequence second is same Compare data.Judge whether include the 6th time point corresponding data in the first data sequence, if including from the first data sequence The 6th time point corresponding data are obtained in row, the second ring that the 6th time point corresponding data are defined as the second data is compared into number According to otherwise, it determines the second ring for not including the second data in the first data sequence compares data.

Step 405：If the first data sequence includes the first year-on-year data, the first ring than data, the second year-on-year data With the second ring ratio data, then according to the first data, the second data, the first year-on-year data, the first ring than data, the second year-on-year data With the second ring ratio data, the data fluctuations rate of first time point is calculated；

Specifically, this step can be by as follows（1）-（5）The step of realize, including：

（1）, according to the first data and the second data, calculate the data fluctuations rate of the first data；

Specifically, the difference between the first data and the second data is calculated, by the difference divided by the second data, first is obtained The data fluctuations rate of data.

（2）, according to the first year-on-year data and the second year-on-year data, calculate the first year-on-year data fluctuations rate；

Specifically, the difference between the first year-on-year data and the second year-on-year data is calculated, the difference divided by second is year-on-year Data, obtain the first year-on-year data fluctuations rate.

（3）, according to the first ring than data and the second ring ratio data, calculate the first ring than data fluctuations rate；

Specifically, the first ring is calculated than data and the second ring than the difference between data, by the difference divided by the second ring ratio Data, obtain the first ring than data fluctuations rate.

（4）, calculate the first data data fluctuations rate and the first year-on-year data fluctuations rate between the first difference, Yi Jiji The data fluctuations rate and the first ring of the first data are calculated than the second difference between data fluctuations rate；

（5）, the first difference and the second difference are defined as to the data fluctuations rate of first time point.

Step 406：If do not include the first year-on-year data and/or the second year-on-year data in the first data sequence, and not Including the first ring than data and/or the second ring than data, then according to the first data and the second data, the number of first time point is calculated According to stability bandwidth；

Specifically, if not including the first year-on-year data and/or the second year-on-year data in the first data sequence, and do not wrap The first ring is included than data and/or the second ring than data, then according to the first data and the second data, calculates the data wave of the first data Dynamic rate；The data fluctuations rate of first data is defined as to the data fluctuations rate of first time point.

Step 407：If the first data sequence includes the first year-on-year data and the second year-on-year data, and does not include first Ring than data and/or the second ring than data, then according to the first data, the second data, the first year-on-year data and the second year-on-year data, Calculate the data fluctuations rate of first time point；

Specifically, if the first data sequence includes the first year-on-year data and the second year-on-year data, and first is not included Ring than data, then according to the first year-on-year data and the second year-on-year data, calculates the first year-on-year data wave than data and/or the second ring Dynamic rate；According to the first data and the second data, the data fluctuations rate of the first data is calculated；Calculate the data fluctuations rate of the first data With the first difference between the first year-on-year data fluctuations rate；First difference is defined as to the data fluctuations rate of first time point.

Step 408：If do not include the first year-on-year data and/or the second year-on-year data in the first data sequence, and including First ring is than data and the second ring ratio data, then according to the first data, the second data, the first ring than data and the second ring ratio number According to the data fluctuations rate of calculating first time point；

Specifically, if not including the first year-on-year data and/or the second year-on-year data in the first data sequence, and including the One ring is than data and the second ring ratio data, then according to the first ring than data and the second ring ratio data, calculates the first ring and compares data wave Dynamic rate；According to the first data and the second data, the data fluctuations rate of the first data is calculated；Calculate the data fluctuations rate of the first data With the first ring than the second difference between data fluctuations rate；Second difference is defined as to the data fluctuations rate of first time point.

Step 409：According to the second data and the first data acquisition system, the data fluctuations rate at the second time point is calculated；

Specifically, this step can be by as follows（A）-（G）The step of realize, including：

（A）, the 3rd data are obtained from the first data sequence, the 3rd data are the number that is produced at the 7th time point of the business According to the 7th time point before the second time point and was equal to a cycle length with the time difference before the second time point；

（B）, according to the time difference, determine the 8th time point and the 9th time point, the 8th time point was the 3rd data 3rd year-on-year data corresponding time point, the 9th time point is the 3rd ring time point more corresponding than data of the 3rd data；

If the first, the time difference be less than predetermined threshold value, by before the 7th time point and with the 7th time point it Between time difference be defined as the 8th time point for the first predetermined number Cycle Length corresponding time point；By the 7th time point Time difference before and between the 7th time point was defined as the 9th time point for the time point of a cycle length.

If the second, the time difference be equal to predetermined threshold value, by before the 7th time point and with the 7th time point it Between time difference be defined as the 8th time point for the second predetermined number Cycle Length corresponding time point；By the 7th time point Time difference before and between the 7th time point is defined as for the first predetermined number Cycle Length corresponding time point Nine time points.

If the third, the time difference be more than predetermined threshold value, by before the 7th time point and with the 7th time point it Between time difference be defined as the 8th time point for the 3rd predetermined number Cycle Length corresponding time point.

Wherein, when the time difference is more than predetermined threshold value, the second year-on-year data and the 3rd year-on-year data are not considered, directly Determine the second ring than data and the 3rd ring ratio data corresponding time point.

（C）, according to the 5th time point, the 6th time point, the 8th time point and the 9th time point, judge the first data sequence In whether include the second year-on-year data and the second ring of the second data than the 3rd year-on-year data of data and the 3rd data and the Three rings compare data；

Specifically, judge in the first data sequence whether to include the 5th time point corresponding data, if including from the The 5th time point corresponding data are obtained in one data sequence, the 5th time point corresponding data are defined as the of the second data Two year-on-year data, otherwise, it determines not including the second year-on-year data of the second data in the first data sequence.Judge the first data sequence Whether include the 6th time point corresponding data in row, if including obtaining for the 6th time point pair from the first data sequence 6th time point corresponding data are defined as the second ring of the second data than data, otherwise, it determines the first data by the data answered The second ring for not including the second data in sequence compares data.Judge whether corresponding including the 8th time point in the first data sequence Data, if including the 8th time point corresponding data being obtained from the first data sequence, by the 8th time point corresponding number According to the 3rd year-on-year data for being defined as the 3rd data, otherwise, it determines do not include the 3rd data in the first data sequence the 3rd is same Compare data.Judge whether include the 9th time point corresponding data in the first data sequence, if including from the first data sequence The 9th time point corresponding data are obtained in row, the 3rd ring that the 9th time point corresponding data are defined as the 3rd data is compared into number According to otherwise, it determines the 3rd ring for not including the 3rd data in the first data sequence compares data.

（D）If, the first data sequence include the second year-on-year data, the second ring than data, the 3rd year-on-year data and Three rings are than data, then according to the second data, the 3rd data, the second year-on-year data, the second ring than data, the 3rd year-on-year data and Three rings calculate the data fluctuations rate at the second time point than data；

（1）, according to the second data and the 3rd data, calculate the data fluctuations rate of the second data；

Specifically, the difference between the second data and the 3rd data is calculated, by the difference divided by the 3rd data, second is obtained The data fluctuations rate of data.

（2）, according to the second year-on-year data and the 3rd year-on-year data, calculate the second year-on-year data fluctuations rate；

Specifically, the difference between the second year-on-year data and the 3rd year-on-year data is calculated, the difference divided by the 3rd is year-on-year Data, obtain the second year-on-year data fluctuations rate.

（3）, according to the second ring than data and the 3rd ring ratio data, calculate the second ring than data fluctuations rate；

Specifically, the second ring is calculated than data and the 3rd ring than the difference between data, by the difference divided by the 3rd ring ratio Data, obtain the second ring than data fluctuations rate.

（4）, calculate the second data data fluctuations rate and the second year-on-year data fluctuations rate between the 3rd difference, Yi Jiji The data fluctuations rate and the second ring of the second data are calculated than the 4th difference between data fluctuations rate；

（5）, the 3rd difference and the 4th difference are defined as to the data fluctuations rate at the second time point.

（E）If, do not include the second year-on-year data and/or the 3rd year-on-year data in the first data sequence, and do not include Second ring than data, then according to the second data and the 3rd data, calculates the data wave at the second time point than data and/or the 3rd ring Dynamic rate；

Specifically, if not including the second year-on-year data and/or the 3rd year-on-year data in the first data sequence, and do not wrap The second ring is included than data and/or the 3rd ring than data, then according to the second data and the 3rd data, calculates the data wave of the second data Dynamic rate；The data fluctuations rate of second data is defined as to the data fluctuations rate at the second time point.

（F）, if the first data sequence includes the second year-on-year data and the 3rd year-on-year data, and do not include the second ring ratio Data and/or the 3rd ring are than data, then according to the second data, the 3rd data, the second year-on-year data and the 3rd year-on-year data, calculate The data fluctuations rate at the second time point；

Specifically, if the first data sequence includes the second year-on-year data and the 3rd year-on-year data, and second is not included Ring than data, then according to the second year-on-year data and the 3rd year-on-year data, calculates the second year-on-year data wave than data and/or the 3rd ring Dynamic rate；According to the second data and the 3rd data, the data fluctuations rate of the second data is calculated；Calculate the data fluctuations rate of the second data With the 3rd difference between the second year-on-year data fluctuations rate；3rd difference is defined as to the data fluctuations rate at the second time point.

（G）If, do not include the second year-on-year data and/or the 3rd year-on-year data in the first data sequence, and including second Ring is than data and the 3rd ring ratio data, then according to the second data, the 3rd data, the second ring than data and the 3rd ring ratio data, meter Calculate the data fluctuations rate at the second time point；

Specifically, if not including the second year-on-year data and/or the 3rd year-on-year data in the first data sequence, and including the Two rings are than data and the 3rd ring ratio data, then according to the second ring than data and the 3rd ring ratio data, calculate the second ring and compare data wave Dynamic rate；According to the second data and the 3rd data, the data fluctuations rate of the second data is calculated；Calculate the data fluctuations rate of the second data With the second ring than the 4th difference between data fluctuations rate；4th difference is defined as to the data fluctuations rate at the second time point.

Step 410：According to the data fluctuations rate of first time point and the data fluctuations rate at the second time point, the business is determined Running status.

Wherein, when the data fluctuations rate and the first year-on-year data fluctuations that the data fluctuations rate of first time point is the first data When the data fluctuations rate and the first ring of the first difference and the first data between rate are than the second difference between data fluctuations rate, such as Really the first difference, which is more than to be more than with reference to stability bandwidth and the second difference, refers to stability bandwidth, it is determined that the first data exception, otherwise, it determines First data are normal.When the data fluctuations rate and the second year-on-year data fluctuations that the data fluctuations rate at the second time point is the second data When the data fluctuations rate and the second ring of the 3rd difference and the second data between rate are than four difference between data fluctuations rate, such as Really the 3rd difference, which is more than to be more than with reference to stability bandwidth and the 4th difference, refers to stability bandwidth, it is determined that the second data exception, otherwise, it determines Second data are normal.

Wherein, when obtaining service operation state, terminal can be according to the first data, the second data and the first data acquisition system The method of method, the method that embodiment three is provided or example IV offer that selection is provided using embodiment two obtains the business Running status.

Embodiment five

Referring to Fig. 5, the embodiments of the invention provide a kind of device for obtaining service operation state, the device includes：

Acquisition module 501, for obtaining the first data, the second data and the first data acquisition system, the first data are that business exists The data that first time point is produced, the second data are the data that the business is produced at the second time point, and the second time point was first Time point before time point, the first data acquisition system includes the number produced at multiple time points of the business before the second time point According to；

First computing module 502, for according to the first data, the second data and the first data acquisition system, calculating the very first time The data fluctuations rate of point；

Second computing module 503, for according to the second data and the first data acquisition system, calculating the data wave at the second time point Dynamic rate；

First determining module 504, for the data fluctuations rate and the data fluctuations at the second time point according to first time point Rate, determines the running status of the business.

Wherein, the first computing module 502 includes：

First computing unit, for temporally being carried out to the data in the first data, the second data and the first data acquisition system Sequence, obtains the first data sequence, calculates the weight of each data in the first data sequence；

Acquiring unit, for obtaining the second data sequence from the first data sequence, the second data sequence includes second Count N number of data and last data is the first data；

First predicting unit, for each data and the weight of each data included according to the second data sequence, prediction The prediction data of first time point；

Second computing unit, the number for calculating first time point according to the prediction data of the first data and first time point According to stability bandwidth.

Wherein, the first computing unit, specifically for：

Temporally the data in the first data and the first data acquisition system are ranked up, the first data sequence is obtained；

Wherein, the first computing module 502 includes：

Sequencing unit, for being temporally ranked up to the data in the second data and the first data acquisition system, obtains first Data sequence, predicts the first prediction data, and the first prediction data is first data correspondence time point in the first data sequence Prediction data；

Second predicting unit, for the data amount check included according to the first data sequence, the first prediction data, the first number According to the position of each data and each data in the first data sequence in sequence, the second prediction data, the second prediction are predicted Data are the prediction data of first time point；

3rd computing unit, the data fluctuations for calculating first time point according to the first data and the second prediction data Rate.

Wherein, the first computing module 502 includes：

4th computing unit, for temporally being carried out to the data in the first data, the second data and the first data acquisition system Sequence, obtains the first data sequence, calculate between two data correspondence time points of arbitrary neighborhood in the first data sequence when Between difference；

Determining unit, for according to the time difference, determining whether include the first of the first data in the first data sequence Year-on-year data and the first ring are than data and the second year-on-year data and the second ring ratio data of the second data, the second time point and the Time difference between one time point is equal to a cycle length；

5th computing unit, if including the first year-on-year data, the first ring than data, second for the first data sequence Year-on-year data and the second ring ratio data, then according to the first data, the second data, the first year-on-year data, the first ring than data, second Year-on-year data and the second ring ratio data, calculate the data fluctuations rate of first time point.

Wherein it is determined that unit, specifically for：

According to the time difference, the 3rd time point, the 4th time point, the 5th time point and the 6th time point, the 3rd are determined Time point is the first year-on-year data corresponding time point of the first data, and the 4th time point compared data for the first ring of the first data Corresponding time point, the 5th time point is the second year-on-year data corresponding time point of the second data, and the 6th time point was second The second ring time point more corresponding than data of data；

Wherein, the 5th computing unit, specifically for：

If the first data sequence includes the first year-on-year data, the first ring than data, the second year-on-year data and the second ring Than data, then according to the first data and the second data, the data fluctuations rate of the first data is calculated；

Further, the device also includes：

3rd computing module, if for not including the first year-on-year data and/or the second year-on-year number in the first data sequence According to, and do not include the first ring than data and/or the second ring than data, then according to the first data and the second data, calculate first The data fluctuations rate of data；

Second determining module, the data fluctuations rate for the data fluctuations rate of the first data to be defined as to first time point.

Further, the device also includes：

4th computing module, if include the first year-on-year data and the second year-on-year data for the first data sequence, and Do not include the first ring than data and/or the second ring than data, then according to the first year-on-year data and the second year-on-year data, calculate first Year-on-year data fluctuations rate；

5th computing module, for according to the first data and the second data, calculating the data fluctuations rate of the first data；

6th computing module, the between data fluctuations rate and the first year-on-year data fluctuations rate for calculating the first data One difference；

3rd determining module, the data fluctuations rate for the first difference to be defined as to first time point.

Further, the device also includes：

7th computing module, if for not including the first year-on-year data and/or the second year-on-year number in the first data sequence According to, and including the first ring than data and the second ring ratio data, then according to the first ring than data and the second ring ratio data, calculate first Ring is than data fluctuations rate；

8th computing module, for according to the first data and the second data, calculating the data fluctuations rate of the first data；

9th computing module, for calculating the data fluctuations rate and the first ring of the first data than the between data fluctuations rate Two differences；

4th determining module, the data fluctuations rate for the second difference to be defined as to first time point.

It should be noted that：The device for the acquisition service operation state that above-described embodiment is provided is obtaining service operation state When, only with the division progress of above-mentioned each functional module for example, in practical application, as needed can divide above-mentioned functions With by different functional module completions, i.e., the internal structure of device is divided into different functional modules, to complete above description All or part of function.In addition, the device for the acquisition service operation state that above-described embodiment is provided is with obtaining service operation The embodiment of the method for state belongs to same design, and it implements process and refers to embodiment of the method, repeats no more here.

The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.

One of ordinary skill in the art will appreciate that realizing that all or part of step of above-described embodiment can be by hardware To complete, the hardware of correlation can also be instructed to complete by program, described program can be stored in a kind of computer-readable In storage medium, storage medium mentioned above can be read-only storage, disk or CD etc..

The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and Within principle, any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.

Claims

1. a kind of method for obtaining service operation state, it is characterised in that methods described includes：

The first data, the second data and the first data acquisition system are obtained, first data are what business was produced in first time point Data, second data are the data that the business is produced at the second time point, when second time point is described first Between put before time point, first data acquisition system includes multiple time points for the business before second time point The data of generation；

Temporally the data in first data, second data and first data acquisition system are ranked up, obtained First data sequence, calculates the weight of each data in first data sequence；

Obtain the second data sequence from first data sequence, second data sequence include N number of data and last Individual data are first data, and the N is less than the data amount check of first data sequence；

The each data and the weight of each data included according to second data sequence, predict the first time point Prediction data；

The data fluctuations rate of the first time point is calculated according to the prediction data of first data and the first time point；

Wherein, the weight for calculating each data in first data sequence, including：

An intermediate data in the first data sequence centre position is obtained, and institute is removed from first data sequence State intermediate data and obtain the 3rd data sequence；

The inverse of first number is set to the weight of the intermediate data, first number is the first data sequence bag The data amount check included；

Each data corresponding time point, first number and the intermediate data pair in the 3rd data sequence At the time point answered, pass through formulaEvery number in the 3rd data sequence is calculated respectively According to weight；

In above-mentioned formula, the w_iFor the weight of the data in the 3rd data sequence, the s₁For first number, The cT_iFor the data corresponding time point in the 3rd data sequence, the zT₁It is described be in the first data sequence in Between data corresponding time point；

According to the data fluctuations rate of the first time point and the data fluctuations rate at second time point, the business is determined Running status.

2. a kind of method for obtaining service operation state, it is characterised in that methods described includes：

Temporally the data in second data and first data acquisition system are ranked up, the first data sequence is obtained, First data is obtained from first data sequence, it is pre- by following formula predictions first according to first data Survey data；

<mrow> <msub> <mi>y</mi> <mn>1</mn> </msub> <mo>=</mo> <msub> <mi>x</mi> <mn>1</mn> </msub> <mo>&times;</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mfrac> <mi>d</mi> <mn>3</mn> </mfrac> <mo>)</mo> </mrow> <mo>;</mo> </mrow>

Wherein, the y₁For first prediction data, the x₁For first data in first data sequence, the d For default undulating value；

In the data amount check that is included according to first data sequence, first prediction data, first data sequence Position in first data sequence of each data and each data, predict the second prediction data, described second Prediction data is the prediction data of the first time point；

The data fluctuations rate of the first time point is calculated according to first data and second prediction data；

3. a kind of method for obtaining service operation state, it is characterised in that methods described includes：

Temporally the data in first data, second data and first data acquisition system are ranked up, obtained First data sequence, calculates the time difference between two data correspondence time points of arbitrary neighborhood in first data sequence Value；

According to the time difference, determine whether include the first year-on-year data of first data in first data sequence The second year-on-year data and the second ring ratio data, second time point and institute with the first ring than data and second data The time difference stated between first time point is equal to a cycle length；

If first data sequence includes the described first year-on-year data, first ring than data, described second year-on-year Data and the second ring ratio data, then according to first data, second data, the first year-on-year data, described First ring calculates the data fluctuations of the first time point than data, the second year-on-year data and the second ring ratio data Rate；

Wherein, it is described according to first data, second data, the first year-on-year data, first ring than data, The second year-on-year data and the second ring ratio data, calculate the data fluctuations rate of the first time point, including：

According to first data and second data, the data fluctuations rate of first data is calculated；

According to the described first year-on-year data and the second year-on-year data, the first year-on-year data fluctuations rate is calculated；

According to first ring than data and the second ring ratio data, the first ring is calculated than data fluctuations rate；

Calculate the first difference between the data fluctuations rate of first data and the first year-on-year data fluctuations rate, Yi Jiji The data fluctuations rate and first ring of first data are calculated than the second difference between data fluctuations rate；

First difference and second difference are defined as to the data fluctuations rate of the first time point；

4. method as claimed in claim 3, it is characterised in that described according to the time difference, determines first data Whether the first year-on-year data and first ring of first data are included in sequence than the second of data and second data Year-on-year data and the second ring ratio data, including：

According to the time difference, the 3rd time point, the 4th time point, the 5th time point and the 6th time point, described are determined Three time points were the first year-on-year data corresponding time point of first data, and the 4th time point is first data The first ring time point more corresponding than data, when the 5th time point is corresponding for the second year-on-year data of second data Between point, the 6th time point be second data the second ring time point more corresponding than data；

According to the 3rd time point, the 4th time point, the 5th time point and the 6th time point, judge described Whether the first year-on-year data and first ring ratio data and second number of first data are included in first data sequence According to the second year-on-year data and the second ring compare data.

5. method as claimed in claim 3, it is characterised in that methods described also includes：

If do not include the described first year-on-year data and/or the second year-on-year data in first data sequence, and not Including first ring than data and/or second ring than data, then according to first data and second data, meter Calculate the data fluctuations rate of first data；

The data fluctuations rate of first data is defined as to the data fluctuations rate of the first time point.

6. method as claimed in claim 3, it is characterised in that methods described also includes：

If first data sequence includes the described first year-on-year data and the second year-on-year data, and does not include described First ring than data, then according to the described first year-on-year data and the second year-on-year data, is counted than data and/or second ring Calculate the first year-on-year data fluctuations rate；

Calculate the first difference between the data fluctuations rate of first data and the first year-on-year data fluctuations rate；

First difference is defined as to the data fluctuations rate of the first time point.

7. method as claimed in claim 3, it is characterised in that methods described also includes：

If do not include the described first year-on-year data and/or the second year-on-year data in first data sequence, and including First ring is than data and the second ring ratio data, then according to first ring than data and the second ring ratio data, The first ring is calculated than data fluctuations rate；

The data fluctuations rate and first ring of first data are calculated than the second difference between data fluctuations rate；

Second difference is defined as to the data fluctuations rate of the first time point.

8. a kind of device for obtaining service operation state, it is characterised in that described device includes：

Acquisition module, for obtaining the first data, the second data and the first data acquisition system, first data are business first The data that time point produces, second data are the data that the business is produced at the second time point, second time point For the time point before the first time point, first data acquisition system includes the business before second time point Multiple time points produce data；

First computing module, for according to first data, second data and first data acquisition system, calculating described The data fluctuations rate of first time point；

Second computing module, for according to second data and first data acquisition system, calculating second time point Data fluctuations rate；

First determining module, for the data fluctuations rate according to the first time point and the data fluctuations at second time point Rate, determines the running status of the business；

Wherein, first computing module includes：

First computing unit, for temporally in first data, second data and first data acquisition system Data are ranked up, and obtain the first data sequence, calculate the weight of each data in first data sequence；

Acquiring unit, for obtaining the second data sequence from first data sequence, second data sequence includes N number of Data and last data are first data, and the N is less than the data amount check of first data sequence；

First predicting unit, for each data and the weight of each data included according to second data sequence, Predict the prediction data of the first time point；

Second computing unit, during for calculating described first according to the prediction data of first data and the first time point Between the data fluctuations rate put；

Wherein, first computing unit, specifically for：

Temporally the data in first data and first data acquisition system are ranked up, the first data sequence is obtained；

In above-mentioned formula, the w_iFor the weight of the data in the 3rd data sequence, the s₁For first number, The cT_iFor the data corresponding time point in the 3rd data sequence, the zT₁In in first data sequence Between data corresponding time point.

9. a kind of device for obtaining service operation state, it is characterised in that described device includes：

Wherein, first computing module includes：

Sequencing unit, for being temporally ranked up to the data in second data and first data acquisition system, is obtained First data sequence, first data is obtained from first data sequence, according to first data, passes through following public affairs Formula predicts the first prediction data；

Second predicting unit, for the data amount check included according to first data sequence, first prediction data, institute The position of each data and each data in first data sequence in the first data sequence is stated, prediction second is pre- Data are surveyed, second prediction data is the prediction data of the first time point；

3rd computing unit, the number for calculating the first time point according to first data and second prediction data According to stability bandwidth.

10. a kind of device for obtaining service operation state, it is characterised in that described device includes：

Wherein, first computing module includes：

4th computing unit, for temporally in first data, second data and first data acquisition system Data are ranked up, and obtain the first data sequence, when calculating two data correspondences of arbitrary neighborhood in first data sequence Between put between time difference；

Determining unit, for according to the time difference, determining whether include first data in first data sequence The first year-on-year data and the first ring than data and the second year-on-year data and the second ring ratio data of second data, it is described Time difference between second time point and the first time point is equal to a cycle length；

5th computing unit, if including the described first year-on-year data, the first ring ratio for first data sequence Data, the second year-on-year data and the second ring ratio data, then according to first data, second data, described First year-on-year data, first ring calculate described first than data, the second year-on-year data and the second ring ratio data The data fluctuations rate at time point；

Wherein, the 5th computing unit, specifically for：

If first data sequence includes the described first year-on-year data, first ring than data, described second year-on-year Data and the second ring ratio data, then according to first data and second data, calculate the number of first data According to stability bandwidth；

First difference and second difference are defined as to the data fluctuations rate of the first time point.

11. device as claimed in claim 10, it is characterised in that

The determining unit, specifically for：

12. device as claimed in claim 10, it is characterised in that described device also includes：

3rd computing module, if for not including the described first year-on-year data and/or described the in first data sequence Two year-on-year data, and do not include first ring than data and/or second ring than data, then according to first data With second data, the data fluctuations rate of first data is calculated；

Second determining module, the data fluctuations for the data fluctuations rate of first data to be defined as to the first time point Rate.

13. device as claimed in claim 10, it is characterised in that described device also includes：

4th computing module, if including the described first year-on-year data and described second year-on-year for first data sequence Data, and do not include first ring than data and/or second ring than data, then according to the described first year-on-year data and institute The second year-on-year data are stated, the first year-on-year data fluctuations rate is calculated；

5th computing module, for according to first data and second data, calculating the data wave of first data Dynamic rate；

6th computing module, for calculating between the data fluctuations rate of first data and the first year-on-year data fluctuations rate The first difference；

3rd determining module, the data fluctuations rate for first difference to be defined as to the first time point.

14. device as claimed in claim 10, it is characterised in that described device also includes：

7th computing module, if for not including the described first year-on-year data and/or described the in first data sequence Two year-on-year data, and including first ring than data and the second ring ratio data, then according to first ring than data and Second ring calculates the first ring than data fluctuations rate than data；

8th computing module, for according to first data and second data, calculating the data wave of first data Dynamic rate；

9th computing module, for calculating the data fluctuations rate and first ring of first data than between data fluctuations rate The second difference；

4th determining module, the data fluctuations rate for second difference to be defined as to the first time point.