CN105897501A - Data monitoring method and device - Google Patents
Data monitoring method and device Download PDFInfo
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- CN105897501A CN105897501A CN201510954475.9A CN201510954475A CN105897501A CN 105897501 A CN105897501 A CN 105897501A CN 201510954475 A CN201510954475 A CN 201510954475A CN 105897501 A CN105897501 A CN 105897501A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
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Abstract
The invention provides a data monitoring method and device. The method comprises that monitoring data is obtained periodically; the monitoring data obtained in each period is compared with that obtained in the last period to determine whether the data bulk is increased; the continuous accumulated increase frequency and the continuous accumulated decrease frequency of the data bulk between the adjacent periods are counted; and if the continuous accumulated increase frequency of the data bulk is greater than a first threshold, or the continuous accumulated decrease frequency of the data bulk is greater than a second threshold, or the absolute value of the data bulk difference between the monitoring data obtained in the present period and that obtained in the last period is greater than a third threshold, monitoring data is determined to be abnormal. According to the invention, labor force is reduced, and the data monitoring accuracy is improved.
Description
Technical field
The present embodiments relate to data monitoring technical field, particularly relate to a kind of data monitoring method and dress
Put.
Background technology
Data monitoring refers to the variation tendency by data, judges whether data, processing equipment etc. go out
Existing abnormal conditions, all can be applied to data monitoring in order to be able to send out in time in different technologies field
Existing problem, safeguards as early as possible.
In prior art, data monitoring is the most manually carried out, and the observation according to manpower is real-time
Solution situation, pinpoints the problems.
But this mode of prior art not only consumes manually, and error is bigger, it is impossible to find in time
Problem.
Summary of the invention
The embodiment of the present invention provides a kind of data monitoring method and device, in order to solve foundation in prior art
When the observation of manpower monitors data, not only labor intensive, and also error is relatively big, can't find in time to ask
The situation of topic.
The embodiment of the present invention provides the method for early warning of a kind of Monitoring Data, including:
Periodically obtain monitoring data；
The prison that the previous cycle that relatively the monitoring data of acquisition of each cycle are adjacent with described each cycle obtains
Whether the data volume of control data increases；
Between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration reduces secondary
Number；
Increase number of times at described data volume continuous integration to reduce more than first threshold or data volume continuous integration
Number of times is more than Second Threshold, or the monitoring data of the monitoring data of current period and previous cycle acquisition
When data volume absolute difference is more than three threshold values, determine described monitoring data exception.
The embodiment of the present invention provides a kind of data monitoring device, including:
Acquisition module, for periodically obtaining monitoring data；
Comparison module, before the monitoring data of relatively acquisition of each cycle are adjacent with described each cycle
Whether the data volume of the monitoring data that one cycle obtained increases；
Statistical module, is used for adding up data volume continuous integration between adjacent periods and increases number of times and data volume
Continuous integration reduces number of times；
Threshold value judgment module, for described data volume continuous integration increase number of times more than first threshold or
Data volume continuous integration reduces number of times more than Second Threshold, or the monitoring data of current period and the last week
When the data volume absolute difference of the monitoring data that the phase obtains is more than three threshold values, determine described monitoring data
Abnormal.
The data monitoring method of embodiment of the present invention offer and device, when data monitoring, by periodically
Obtain monitoring data, the last week that relatively the monitoring data of acquisition of each cycle are adjacent with described each cycle
Whether the data volume of the monitoring data that the phase obtains increases, and between statistics adjacent periods, data volume continuous integration increases
Add number of times and data volume continuous integration reduces number of times, increase number of times at described data volume continuous integration and be more than
First threshold or data volume continuous integration reduce number of times and are more than Second Threshold, or the monitoring of current period
When the data volume absolute difference of the monitoring data that data and previous cycle obtain is more than three threshold values, determine
Described monitoring data exception, thus strengthen accuracy and the promptness of data monitoring, it is to avoid artificial sight
When examining, error is bigger, it is impossible to pinpoint the problems in time and the situation of labor intensive.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to reality
Execute the required accompanying drawing used in example or description of the prior art to be briefly described, it should be apparent that under,
Accompanying drawing during face describes is some embodiments of the present invention, for those of ordinary skill in the art,
On the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The flow chart of one embodiment of a kind of data monitoring method that Fig. 1 provides for the present invention；
The flow chart of a kind of another embodiment of data monitoring method that Fig. 2 provides for the present invention；
The flow chart of a kind of one embodiment of data monitoring device that Fig. 3 provides for the present invention；
The flow chart of a kind of data monitoring another embodiment of device that Fig. 4 provides for the present invention；
The flow chart of a kind of data monitoring another embodiment of device that Fig. 5 provides for the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this
Accompanying drawing in bright embodiment, is clearly and completely described the technical scheme in the embodiment of the present invention,
Obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
The every other embodiment obtained, broadly falls into the scope of protection of the invention.
The embodiment of the present invention is mainly used in the monitoring to data, and monitoring data can be can to supervise arbitrarily
The data that control is arrived, such as, reflect the system performance information of processing equipment, such as cpu, internal memory, buffering, handles up
Rate, corresponding speed, execution cycle etc.；The data of reflection user behavior, as accessed stock number, the page
Displaying amount reflection page successful presentation number, accesses video content amount, user preferences video, the time of seek
The video pictures i.e. liked of point, user's up-downgoing network condition, subscriber card broadcast than etc.；Reflection data stream
Use to data, such as bandwidth, bandwidth distribution, code check that various equipment can be play etc..
Owing in prior art, data monitoring is the most manually carried out, the observation according to manpower is real-time
Solution situation, this mode not only consumes manually, and error is bigger, it is impossible to pinpoint the problems in time.
In order to solve this technical problem, inventor, through a series of research, proposes the skill of the present invention
Art scheme, in embodiments of the present invention, by periodically obtaining monitoring data, relatively each cycle is obtained
The data volume of the monitoring data that the previous cycle that the monitoring data taken are adjacent with described each cycle obtains
Whether increase, between statistics adjacent periods, data volume continuous integration increases number of times and data volume is tired out continuously
Meter reduces number of times, increases number of times at described data volume continuous integration and connects more than first threshold or data volume
The continuous accumulative number of times that reduces is more than Second Threshold, or the monitoring data of current period obtained with the previous cycle
Monitoring data data volume absolute difference more than three threshold values time, determine described monitoring data exception,
Thus strengthen accuracy and the promptness of data monitoring, it is to avoid during manual observation, error is relatively big,
Can not pinpoint the problems in time and the situation of labor intensive.
The flow chart of one embodiment of a kind of data monitoring method that Fig. 1 provides for the present invention, the method can
To include following step:
101: periodically obtain monitoring data.
When obtaining monitoring data, different time sections can be spaced periodically obtain according to different types of data
Take monitoring data.
102: the previous cycle that relatively the monitoring data of acquisition of each cycle are adjacent with described each cycle obtains
The data volume of monitoring data whether increase.
The monitoring data that such as period 1 gathers are 500, and the monitoring data that second round gathers are 600,
The monitoring data that period 3 gathers are 300, and the monitoring data that the period 4 gathers are 200, the period 5
The monitoring data gathered are 100, then the data volume 100 of the monitoring data gathered the period 5 respectively
The data volume 200 of monitoring data gathered with the period 4 compares, and comparative result is reduction, by the
The data volume of the monitoring data that the data volume 200 of the monitoring data that four cycles gathered and period 3 gather
300 compare, and comparative result is for reducing, by the data volume 300 of the monitoring data that the period 3 gathers
The data volume 600 of monitoring data gathered with second round compares, and comparative result is reduction, by the
The data volume of the monitoring data that the data volume 600 of the monitoring data that two cycles gathers and period 1 gather
500 compare.Comparative result is for increasing.
103: between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration subtracts
Few number of times.
Being added up by data volume comparative result between adjacent periods, comparative result includes increasing and reducing
Two kinds, when comparative result is for increasing, it is designated as increasing once, when comparative result is for reducing, is designated as subtracting
Little once, between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration and subtracts
Few number of times.
104: increase number of times more than first threshold or data volume continuous integration at described data volume continuous integration
Reduce number of times and be more than Second Threshold, or the monitoring number that the monitoring data of current period obtained with the previous cycle
According to data volume absolute difference more than three threshold values time, determine described monitoring data exception.
First threshold, Second Threshold and the 3rd threshold value are that corresponding monitoring data are set in advance, according to difference
Monitoring data respectively correspondence set first threshold, Second Threshold and the 3rd threshold value, wherein first threshold and
Second Threshold can be identical when setting, it is also possible to differs；Determine described monitoring data exception, then table
The systematic function of bright processing equipment is abnormal, network interruption of customer loss or user etc..
In the present embodiment, by periodically obtaining monitoring data, the monitoring that relatively each cycle obtains
Whether the data volume of the monitoring data that the previous cycle that data are adjacent with described each cycle obtains increases,
Between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration reduces secondary
Number, increases number of times at described data volume continuous integration and subtracts more than first threshold or data volume continuous integration
Few number of times is more than Second Threshold, or the monitoring number that the monitoring data of current period obtained with the previous cycle
According to data volume absolute difference more than three threshold values time, determine described monitoring data exception, thus add
The accuracy of strong data monitoring and promptness, it is to avoid during manual observation, error is bigger, it is impossible to and
Time pinpoint the problems and the situation of labor intensive.
In another embodiment that the present invention provides, between statistics adjacent periods, data volume continuous integration increases
After adding number of times and data volume continuous integration minimizing number of times, described method can also include, adds up adjacent
Between cycle, data volume accumulates number of times and the accumulative number of times that reduces of data volume, and it is accumulative to calculate data volume
Increase number of times and data volume add up to reduce the number of times difference of number of times.
Thus when the absolute value of described number of times difference is more than preset difference value, determine described monitoring data exception.
In the another embodiment that the present invention provides, it is judged that the monitoring data that current period obtains are with front
When the data difference absolute value of the monitoring data that one cycle obtained is more than three threshold values, determine described monitoring number
According to exception, can be to increase number of times at described data volume continuous integration to connect less than first threshold and data volume
When continuous accumulative minimizing number of times is less than Second Threshold, then judge that the monitoring data of current period obtained with the previous cycle
The data difference absolute value of the monitoring data taken is more than the 3rd threshold value.
After determining monitoring data exception, then sending warning message, sending warning message can be acoustic scene
Sound is reported to the police, if management personnel are the most at the scene, then can receive warning message by terminal.Can also be
Transmission warning message is to user terminal, and sending warning message can be multiple, such as to user terminal form
At least one in alarm mail communication modes, alarming short message communication modes and instant messaging mode, if
Management personnel are the most at the scene, then management personnel can receive warning message by terminal, and response is the most timely
Check abnormal monitoring data.
In order to improve accuracy during Statistical monitor data further, as shown in Figure 2, it is provided that this
The flow chart of bright a kind of another embodiment of data monitoring method, the method can include following step
Rapid:
201: periodically obtain monitoring data.
202: the previous cycle that relatively the monitoring data of acquisition of each cycle are adjacent with described each cycle obtains
The data volume of monitoring data whether increase.
203: the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of monitoring data increases, arranging label symbol is+1.
204: the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of monitoring data reduces, arranging label symbol is-1.
205: label symbol consecutive identical between adjacent periods is added up, it is thus achieved that between adjacent periods
Data volume continuous integration increases number of times and data volume continuous integration reduces number of times.
It is adjacent with described each cycle for the monitoring data distinguishing the acquisition of each cycle that label symbol is set
The data volume of the monitoring data that the previous cycle obtains is to increase or reduces, label symbol in the present embodiment
+ 1 represents that the data volume of monitoring data once increases, and label symbol-1 represents the data volume of monitoring data once
Reducing, certain label symbol can also select other replacement, as long as the number of monitoring data can be distinguished
It is to increase according to amount or reduces.
206: judge that described data volume continuous integration increases number of times and tires out continuously more than first threshold or data volume
Meter reduces number of times and is more than Second Threshold, if it is, perform step 207；If it does not, perform step 208.
207: determine described monitoring data exception.
208: the data volume difference of the monitoring data that the monitoring data of current period and previous cycle obtain is absolute
Value, more than the 3rd threshold value, determines described monitoring data exception.
In the present embodiment, by periodically obtaining monitoring data, in the monitoring data that each cycle obtains
When the data volume of the monitoring data that the previous cycle adjacent with described each cycle obtains increases, labelling is set
Symbol is+1；The previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
Monitoring data data volume reduce time, arranging label symbol is-1；By consecutive identical between adjacent periods
Label symbol add up, it is thus achieved that between adjacent periods, data volume continuous integration increases number of times and data
Amount continuous integration reduces number of times, increases number of times more than first threshold or number at described data volume continuous integration
Number of times is reduced more than Second Threshold according to amount continuous integration, or the monitoring data of current period and previous cycle
When the data volume absolute difference of the monitoring data obtained is more than three threshold values, determine that described monitoring data are different
Often, the accuracy thus when improve Statistical monitor data.
In order to improve the accuracy of data monitoring further, as the implementation that another is possible, described
Between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration minimizing number of times is same
Time, described method also includes:
Cumulative data amount value added between statistics adjacent periods and cumulative data amount reduced value, and calculate
Described cumulative data amount value added and the difference of cumulative data amount reduced value.
Difference between described cumulative data amount value added and cumulative data amount reduced value absolute value is absolute
When value is more than four threshold values, determine described monitoring data exception.
The monitoring data that such as period 1 gathers are 500, and the monitoring data that second round gathers are 600,
The monitoring data that period 3 gathers are 300, and the monitoring data that the period 4 gathers are 200, the period 5
The monitoring data gathered are 100, then the data volume 100 and the 4th of the monitoring data that the period 5 gathers
Decreasing value between the data volume 200 of the monitoring data that the cycle gathers is-100, the prison that the period 4 gathers
Decreasing value between the data volume of the monitoring data that the data volume 200 of control data and period 3 gather is
-100, the monitoring data that the data volume 300 of the monitoring data that the period 3 gathers and second round gather
Decreasing value between data volume 600 is-300, the data volume 600 of the monitoring data that second round gathers and
Value added between the data volume 500 of the monitoring data that the period 1 gathers is 100, then cumulative data
Amount value added is 100, cumulative data amount reduced value-500, cumulative data amount value added 100 and accumulative total
Absolute difference according to amount reduced value absolute value 500 is 400, it is assumed that the 3rd threshold value is set as 350, the most really
Determine the monitoring data exception of period 5 collection.
The structural representation of a kind of one embodiment of data monitoring device that Fig. 3 provides for the present invention, should
Device may include that
Acquisition module 301, for periodically obtaining monitoring data.
Comparison module 302 is adjacent with described each cycle for the monitoring data that relatively each cycle obtains
The data volume of monitoring data that obtains of previous cycle whether increase.
Statistical module 303, is used for adding up data volume continuous integration between adjacent periods and increases number of times and number
Number of times is reduced according to amount continuous integration.
Threshold value judgment module 304, for increasing number of times more than first threshold at described data volume continuous integration
Or data volume continuous integration reduces number of times and is more than Second Threshold, or the monitoring data of current period are with front
When the data volume absolute difference of the monitoring data that one cycle obtained is more than three threshold values, determine described monitoring
Data exception.
In the present embodiment, by periodically obtaining monitoring data, the monitoring that relatively each cycle obtains
Whether the data volume of the monitoring data that the previous cycle that data are adjacent with described each cycle obtains increases,
Between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration reduces secondary
Number, increases number of times at described data volume continuous integration and subtracts more than first threshold or data volume continuous integration
Few number of times is more than Second Threshold, or the monitoring number that the monitoring data of current period obtained with the previous cycle
According to data volume absolute difference more than three threshold values time, determine described monitoring data exception, thus add
The accuracy of strong data monitoring and promptness, it is to avoid during manual observation, error is bigger, it is impossible to and
Time pinpoint the problems and the situation of labor intensive.
In another embodiment that the present invention provides, statistical module is used for adding up data between adjacent periods
After amount continuous integration increases number of times and data volume continuous integration minimizing number of times, described statistical module also may be used
For, between statistics adjacent periods, data volume accumulates number of times and data volume accumulative minimizing number of times,
And calculate data volume and accumulate number of times and data volume adds up to reduce the number of times difference of number of times.
Threshold value judgment module, for when the absolute value of described number of times difference is more than preset difference value, determines described
Monitoring data exception.
Described preset difference value is that corresponding monitoring data are set in advance.
In another embodiment of the present invention, threshold value judgment module in the monitoring data of current period with previous
When the data volume absolute difference of the monitoring data that the cycle obtains is more than three threshold values, determine described monitoring number
Can be specifically according to exception:
Increase number of times at described data volume continuous integration to reduce less than first threshold and data volume continuous integration
Number of times is less than Second Threshold, and the number of the monitoring data of the monitoring data of current period and the acquisition of previous cycle
Described monitoring data exception is determined during according to absolute difference more than three threshold values.
In order to improve accuracy during Statistical monitor data further, as shown in Figure 4, it is provided that this
The structural representation of bright a kind of data monitoring another embodiment of device, this device may include that
Acquisition module 401, for periodically obtaining monitoring data.
Comparison module 402 is adjacent with described each cycle for the monitoring data that relatively each cycle obtains
The data volume of monitoring data that obtains of previous cycle whether increase.
Described statistical module 403, for the monitoring data obtained in each cycle and described each cycle phase
When the data volume of the monitoring data that the adjacent previous cycle obtains increases, arranging label symbol is+1；Each
The data of monitoring data of the acquisition of previous cycle that monitoring data that the cycle obtains are adjacent with described each cycle
When amount reduces, arranging label symbol is-1；Label symbol consecutive identical between adjacent periods is tired out
Add, it is thus achieved that between adjacent periods, data volume continuous integration increases number of times and data volume continuous integration reduces secondary
Number.
Threshold value judgment module 404, for increasing number of times more than first threshold at described data volume continuous integration
Or data volume continuous integration reduces number of times and is more than Second Threshold, or the monitoring data of current period are with front
When the data volume absolute difference of the monitoring data that one cycle obtained is more than three threshold values, determine described monitoring
Data exception.
In the present embodiment, by periodically obtaining monitoring data, at the monitoring number that each cycle obtains
When increasing according to the data volume of the monitoring data of the acquisition of previous cycle adjacent with described each cycle, arrange
Label symbol is+1；The last week that the monitoring data that obtain in each cycle are adjacent with described each cycle
When the data volume of the monitoring data that the phase obtains reduces, arranging label symbol is-1；Between adjacent periods
Consecutive identical label symbol adds up, it is thus achieved that data volume continuous integration increases number of times and data volume
Continuous integration reduces number of times, increases number of times more than first threshold or number at described data volume continuous integration
Number of times is reduced more than Second Threshold according to amount continuous integration, or the monitoring data of current period and the last week
When the data volume absolute difference of the monitoring data that the phase obtains is more than three threshold values, determine described monitoring number
According to exception, thus accuracy when improve Statistical monitor data.
During in order to improve monitoring data exception further, the promptness of management personnel's response, such as Fig. 5 institute
Show, it is provided that the structural representation of the present invention a kind of data monitoring another embodiment of device, this device
May include that
Acquisition module 501, for periodically obtaining monitoring data.
Comparison module 502 is adjacent with described each cycle for the monitoring data that relatively each cycle obtains
The data volume of monitoring data that obtains of previous cycle whether increase.
Statistical module 503, is used for adding up data volume continuous integration between adjacent periods and increases number of times and number
Number of times is reduced according to amount continuous integration.
Threshold value judgment module 504, for increasing number of times more than first threshold at described data volume continuous integration
Or data volume continuous integration reduces number of times and is more than Second Threshold, or the monitoring data of current period are with front
When the data volume absolute difference of the monitoring data that one cycle obtained is more than three threshold values, determine described monitoring
Data exception.
Output module 505, for after determining described monitoring data exception, exports warning message.
In this embodiment, after determining monitoring data exception, then send warning message, send alarm signal
Breath can be on-the-spot audible alarm, if management personnel are the most at the scene, then can receive report by terminal
Alarming information.Can also be to send warning message to user terminal, transmission warning message be to user terminal shape
Formula can be multiple, such as alarm mail communication modes, alarming short message communication modes and instant messaging side
At least one in formula, if management personnel are the most at the scene, then management personnel can be connect by terminal
Receiving alarming information, checks abnormal monitoring data in time, improves the promptness of monitoring data.
In order to improve accuracy during Statistical monitor data further, in another reality that the present invention provides
Execute in example, threshold value judgment module, it is additionally operable in described cumulative data amount value added and cumulative data amount
When absolute difference between reduced value absolute value is more than four threshold values, determine described monitoring data exception.
Device embodiment described above is only schematically, wherein said illustrates as separating component
Unit can be or may not be physically separate, the parts shown as unit can be or
Person may not be physical location, i.e. may be located at a place, or can also be distributed to multiple network
On unit.Some or all of module therein can be selected according to the actual needs to realize the present embodiment
The purpose of scheme.Those of ordinary skill in the art are not in the case of paying performing creative labour, the most permissible
Understand and implement.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive each reality
The mode of executing can add the mode of required general hardware platform by software and realize, naturally it is also possible to by firmly
Part.Based on such understanding, the portion that prior art is contributed by technique scheme the most in other words
Dividing and can embody with the form of software product, this computer software product can be stored in computer can
Read in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that one
Computer equipment (can be personal computer, server, or the network equipment etc.) performs each to be implemented
The method described in some part of example or embodiment.
Last it is noted that above example is only in order to illustrate technical scheme, rather than to it
Limit；Although the present invention being described in detail with reference to previous embodiment, the ordinary skill of this area
Personnel it is understood that the technical scheme described in foregoing embodiments still can be modified by it, or
Person carries out equivalent to wherein portion of techniques feature；And these amendments or replacement, do not make corresponding skill
The essence of art scheme departs from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a data monitoring method, it is characterised in that including:
Periodically obtain monitoring data；
The prison that the previous cycle that relatively the monitoring data of acquisition of each cycle are adjacent with described each cycle obtains
Whether the data volume of control data increases；
Between statistics adjacent periods, data volume continuous integration increases number of times and data volume continuous integration reduces secondary
Number；
Number of times is increased more than first threshold or described data volume continuous integration at described data volume continuous integration
Reduce number of times and be more than Second Threshold, or the monitoring number that the monitoring data of current period obtained with the previous cycle
According to data volume absolute difference more than three threshold values time, determine described monitoring data exception.
Method the most according to claim 1, it is characterised in that number between described statistics adjacent periods
Increase number of times according to amount continuous integration and data volume continuous integration reduce number of times and includes:
The monitoring that the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of data increases, arranging label symbol is+1；
The monitoring that the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of data reduces, arranging label symbol is-1；
Label symbol consecutive identical between adjacent periods is added up, it is thus achieved that data between adjacent periods
Amount continuous integration increases number of times and data volume continuous integration reduces number of times.
Method the most according to claim 1, it is characterised in that the described monitoring number at current period
During according to the data difference absolute value of the monitoring data obtained with the previous cycle more than three threshold values, determine described
Monitoring data exception includes:
Increase number of times at described data volume continuous integration to reduce less than first threshold and data volume continuous integration
Number of times is less than Second Threshold, and the number of the monitoring data of the monitoring data of current period and the acquisition of previous cycle
Described monitoring data exception is determined during according to absolute difference more than three threshold values.
Method the most according to claim 1, it is characterised in that determining described monitoring data exception
Afterwards, described method also includes:
Output warning message.
Method the most according to claim 1, it is characterised in that number between described statistics adjacent periods
While increasing number of times and data volume continuous integration minimizing number of times according to amount continuous integration, described method is also wrapped
Include:
Cumulative data amount value added between statistics adjacent periods and cumulative data amount reduced value, and calculate
Described cumulative data amount value added and the difference of cumulative data amount reduced value；
Difference between described cumulative data amount value added and cumulative data amount reduced value absolute value is absolute
When value is more than four threshold values, determine described monitoring data exception.
6. a data monitoring device, it is characterised in that including:
Acquisition module, for periodically obtaining monitoring data；
Comparison module, before the monitoring data of relatively acquisition of each cycle are adjacent with described each cycle
Whether the data volume of the monitoring data that one cycle obtained increases；
Statistical module, is used for adding up data volume continuous integration between adjacent periods and increases number of times and data volume
Continuous integration reduces number of times；
Threshold value judgment module, for described data volume continuous integration increase number of times more than first threshold or
Data volume continuous integration reduces number of times more than Second Threshold, or the monitoring data of current period and the last week
When the data volume absolute difference of the monitoring data that the phase obtains is more than three threshold values, determine described monitoring data
Abnormal.
Device the most according to claim 6, it is characterised in that described statistical module specifically for:
The monitoring that the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of data increases, arranging label symbol is+1；
The monitoring that the previous cycle that the monitoring data that obtain in each cycle are adjacent with described each cycle obtains
When the data volume of data reduces, arranging label symbol is-1；
Label symbol consecutive identical between adjacent periods is added up, it is thus achieved that data between adjacent periods
Amount continuous integration increases number of times and data volume continuous integration reduces number of times.
Device the most according to claim 6, it is characterised in that described threshold value judgment module is specifically used
In:
Number of times is increased less than first threshold and described data volume continuous integration at described data volume continuous integration
Reduce number of times and be less than Second Threshold, and the monitoring data that the monitoring data of current period obtained with the previous cycle
Data difference absolute value more than three threshold values time determine described monitoring data exception.
Device the most according to claim 6, it is characterised in that described device also includes:
Output module, for after determining described monitoring data exception, exports warning message.
Device the most according to claim 6, it is characterised in that described statistical module is additionally operable to:
Cumulative data amount value added between statistics adjacent periods and cumulative data amount reduced value, and calculate
Described cumulative data amount value added and the difference of cumulative data amount reduced value；
Described threshold value judgment module is additionally operable to reduce in described cumulative data amount value added and cumulative data amount
When absolute difference between value absolute value is more than four threshold values, determine described monitoring data exception.
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| CN201510954475.9A CN105897501A (en) | 2015-12-17 | 2015-12-17 | Data monitoring method and device |
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| CN201510954475.9A CN105897501A (en) | 2015-12-17 | 2015-12-17 | Data monitoring method and device |
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| CN106713066A (en) * | 2016-11-30 | 2017-05-24 | 海尔优家智能科技（北京）有限公司 | Method and device for monitoring stream processing system |
| CN107070713A (en) * | 2017-04-10 | 2017-08-18 | 广州油融互联网金融信息服务有限公司 | A kind of data monitoring processing method |
| CN107864063A (en) * | 2017-12-12 | 2018-03-30 | 北京奇艺世纪科技有限公司 | A kind of abnormality monitoring method, device and electronic equipment |
| CN108197199A (en) * | 2017-12-27 | 2018-06-22 | 珠海市君天电子科技有限公司 | Data monitoring method, device, electronic equipment and computer readable storage medium |
| CN108540976A (en) * | 2018-03-07 | 2018-09-14 | 京信通信系统（中国）有限公司 | A kind of method and device of data statistics |
| CN108920102A (en) * | 2018-06-28 | 2018-11-30 | 郑州云海信息技术有限公司 | A kind of method for early warning and relevant apparatus of Nonvolatile memory |
| CN109474447A (en) * | 2017-09-07 | 2019-03-15 | 北京京东尚科信息技术有限公司 | Alarm method and device for real-time monitoring system |
| CN110113669A (en) * | 2019-06-14 | 2019-08-09 | 北京达佳互联信息技术有限公司 | Obtain method, apparatus, electronic equipment and the storage medium of video data |
| CN110442628A (en) * | 2019-07-09 | 2019-11-12 | 恩亿科(北京)数据科技有限公司 | A kind of data monitoring method, system and computer equipment |
| CN110490639A (en) * | 2019-07-22 | 2019-11-22 | 精硕科技（北京）股份有限公司 | A kind of data volume monitoring method, modification method, system and computer equipment |
| WO2020019965A1 (en) * | 2018-07-27 | 2020-01-30 | 阿里巴巴集团控股有限公司 | Data monitoring method and device, electronic device, and computer readable storage medium |
| CN113126015A (en) * | 2021-04-29 | 2021-07-16 | 广东电网有限责任公司电力科学研究院 | Method and device for detecting measurement precision of multi-channel power quality monitoring device |
| CN113568808A (en) * | 2021-07-23 | 2021-10-29 | 中信银行股份有限公司 | Online activity data multidimensional monitoring method and system |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106713066A (en) * | 2016-11-30 | 2017-05-24 | 海尔优家智能科技（北京）有限公司 | Method and device for monitoring stream processing system |
| CN107070713A (en) * | 2017-04-10 | 2017-08-18 | 广州油融互联网金融信息服务有限公司 | A kind of data monitoring processing method |
| CN109474447B (en) * | 2017-09-07 | 2022-04-12 | 北京京东尚科信息技术有限公司 | Alarm method and device for real-time monitoring system |
| CN109474447A (en) * | 2017-09-07 | 2019-03-15 | 北京京东尚科信息技术有限公司 | Alarm method and device for real-time monitoring system |
| CN107864063B (en) * | 2017-12-12 | 2021-09-17 | 北京奇艺世纪科技有限公司 | Abnormity monitoring method and device and electronic equipment |
| CN107864063A (en) * | 2017-12-12 | 2018-03-30 | 北京奇艺世纪科技有限公司 | A kind of abnormality monitoring method, device and electronic equipment |
| CN108197199A (en) * | 2017-12-27 | 2018-06-22 | 珠海市君天电子科技有限公司 | Data monitoring method, device, electronic equipment and computer readable storage medium |
| CN108197199B (en) * | 2017-12-27 | 2021-10-29 | 珠海市君天电子科技有限公司 | Data monitoring method and device, electronic equipment and computer readable storage medium |
| CN108540976A (en) * | 2018-03-07 | 2018-09-14 | 京信通信系统（中国）有限公司 | A kind of method and device of data statistics |
| CN108920102A (en) * | 2018-06-28 | 2018-11-30 | 郑州云海信息技术有限公司 | A kind of method for early warning and relevant apparatus of Nonvolatile memory |
| WO2020019965A1 (en) * | 2018-07-27 | 2020-01-30 | 阿里巴巴集团控股有限公司 | Data monitoring method and device, electronic device, and computer readable storage medium |
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| CN110113669A (en) * | 2019-06-14 | 2019-08-09 | 北京达佳互联信息技术有限公司 | Obtain method, apparatus, electronic equipment and the storage medium of video data |
| CN110442628A (en) * | 2019-07-09 | 2019-11-12 | 恩亿科(北京)数据科技有限公司 | A kind of data monitoring method, system and computer equipment |
| CN110490639A (en) * | 2019-07-22 | 2019-11-22 | 精硕科技（北京）股份有限公司 | A kind of data volume monitoring method, modification method, system and computer equipment |
| CN113126015A (en) * | 2021-04-29 | 2021-07-16 | 广东电网有限责任公司电力科学研究院 | Method and device for detecting measurement precision of multi-channel power quality monitoring device |
| CN113568808A (en) * | 2021-07-23 | 2021-10-29 | 中信银行股份有限公司 | Online activity data multidimensional monitoring method and system |
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