CN108022168A - Data unusual fluctuation monitoring method, equipment and storage medium - Google Patents
Data unusual fluctuation monitoring method, equipment and storage medium Download PDFInfo
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- CN108022168A CN108022168A CN201711187044.XA CN201711187044A CN108022168A CN 108022168 A CN108022168 A CN 108022168A CN 201711187044 A CN201711187044 A CN 201711187044A CN 108022168 A CN108022168 A CN 108022168A
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Abstract
The present invention provides a kind of data unusual fluctuation monitoring method, equipment and storage medium, which includes：Data are obtained from data platform, the data include one or more combinations in numeral, word, chart；Target area and the monitoring frequency extraction target data sectional drawing of data are set, and current target data picture and history target data picture are merged；Identify picture target data and extraction factor, compare the factor of the factor and the target data of history picture of the target data of photo current, judge whether the factor of current target data is abnormal；Mark Outlier factor.Pictorial information of the invention by periodically extracting data or chart, compares the difference real-time feedback data different condition of photo current data and history image data, gives policymaker to provide decision references.
Description
Technical field
The present invention relates to computer realm, especially, is related to a kind of data unusual fluctuation monitoring method, equipment and storage medium.
Background technology
In the prior art, the unusual fluctuation on data monitors, and particularly monitors the historical data unusual fluctuation of financial product, often a few days ago
With method be by each third party's data platform analyze day line, contour, moon line, the market data such as year line come to later trend into
Row analysis prediction, and investment decision is made, for the financial market of data volume complexity, only rely on above-mentioned single means and become to market
Gesture is studied and judged, and accuracy will greatly discount.If investor or supervisor can be allowed to see market data ratio detailed in history
Such as the same day market figure of stock, by comparing daily market data, detailed information of forecasting is extracted, is beneficial to investor or prison
Control person makes decisions more accurately decision-making.
The content of the invention
The present invention provides a kind of data unusual fluctuation monitoring method, equipment and storage medium, above-mentioned to solve the problems, such as.
The present invention provides a kind of data unusual fluctuation monitoring method, suitable for being performed in computing device, comprises the following steps：
Data are obtained from data platform, the data include one or more combinations in numeral, word, chart；
Target area and the monitoring frequency extraction target data sectional drawing of data are set, and by current target data picture with going through
History target data picture merges；
Identify image data and extraction factor, compare the factor and the number of targets of history picture of the target data of photo current
According to the factor, judge whether the factor of current target data abnormal；
Mark anomalous content.
In the target area of the setting data and monitoring frequency extraction target data sectional drawing, and by current target data figure
Piece is merged in step with history target data picture：
The target area includes day data, hour data, minute data；
The monitoring frequency be set as one time a day, it is every 1 it is small when 1 time, it is 30 minutes 1 time every, however it is not limited to this.
Described after data platform obtains data step, target area and the monitoring frequency extraction number of targets of data are set
According to sectional drawing, and before current target data picture and history target data picture are merged step, the standard of data is further included
Change processing step, by the size of data, pixel criterion, the consistent figure of generation size, pixel before target data sectional drawing is extracted
Piece.
The identification image data and extraction factor, compare the factor and history picture of the target data of photo current
The factor of target data, judges that the whether abnormal step of the factor of current target data specifically includes：
Setting factor beforehand outlier threshold；
Identify image data and extraction factor, the extracting method includes database extraction, web crawlers, fuzzy knowledge
Not, the one or more in machine learning；
Compare the factor of the target data in photo current and the target data factor of history picture, if comparing beyond threshold
Value, then judge current data exception and mark；The factor includes highest price, lowest price, opening price, closing price, commission
Queue, entrusts the amount of buying, and entrusts the amount of selling, exchange hand, transaction value, total market capitalisation, circulation value, turnover rate, measures one or more than in
The combination of item.
A kind of data unusual fluctuation monitoring method of the present invention further includes alarming step, when judging current data exception, by pre-
The account number first configured sends abnormal marking information to user, or shows anomalous content by default page user oriented.
The present invention also provides a kind of data unusual fluctuation monitoring device, including：
Data acquisition module, suitable for obtaining data from data platform, the data include one in numeral, word, chart
Item or multinomial combination；
Picture processing module, suitable for setting the target area of data and monitoring frequency extraction target data sectional drawing, and ought
Preceding target data picture is merged with history target data picture；
Abnormal judgment module, suitable for identifying image data and extraction factor, compares the target data and history of photo current
The target data of picture, judges whether current target data is abnormal.
The present invention also provides a kind of computing device, including：
One or more processors；
Memory；And
One or more programs, wherein one or more of program storages are in the memory and are configured as by institute
One or more processors execution is stated, one or more of programs include being used to perform any in data unusual fluctuation monitoring method
The instruction of method.
The present invention also provides a kind of computer-readable storage medium, the storage medium is stored with one or more programs, described
One or more programs include instruction, and described instruction is when executed by a computing apparatus so that the computing device data are different
Either method in dynamic monitoring method.
Compared with prior art, the invention has the advantages that：
Pictorial information of the invention by periodically extracting data or chart, compares photo current data and history image data
Difference real-time feedback data different condition, give policymaker provide decision references.
Brief description of the drawings
Fig. 1 shows one data unusual fluctuation monitoring method flow chart of the embodiment of the present invention.
Fig. 2 shows daily bidding data sectional drawing picture in the embodiment of the present invention one
Fig. 3 shows two data unusual fluctuation monitoring method flow chart of the embodiment of the present invention.
Fig. 4 shows three data unusual fluctuation monitoring device frame diagram of the embodiment of the present invention.
Embodiment
Main idea is that periodically extracting the sectional drawing of data or chart, photo current and history picture are closed
And identifying image data and extraction factor, the factor is with the factor in history pictorial information in multilevel iudge photo current information
No exception, the alert if there is exception, reference is provided for policymaker.It is relevant present invention can apply to time series
Data monitoring, including financial product data monitoring, by comparing the current data and historical data difference of fund or stock, judge
Whether current data is abnormal, and reference proposition is provided to investor, stock supervisory committee etc..
Below in conjunction with the attached drawing in the embodiment of the present invention, in the embodiment of the present invention by taking stock certificate data unusual fluctuation monitoring as an example
Technical solution be clearly and completely described, it is clear that described embodiment be only part of the embodiment of the present invention, and
The embodiment being not all of.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work
On the premise of all other embodiments obtained, belong to the scope of protection of the invention.
Embodiment one
The present invention provides a kind of data unusual fluctuation monitoring method, as shown in Figure 1, comprising the following steps：
Step 101, data are obtained from data platform, the data include one or more in numeral, word, chart
Combination.
The present invention is compared data exception by taking stock information as an example analysis, from third party's data platform in the present embodiment
Data are obtained, third party's data platform includes straight flush, great wisdom, and the data platform that each stock trader provides, the data include
One in numeral, word, chart or any multinomial combination.
Step 102, target area and the monitoring frequency extraction target data sectional drawing of data are set, and by current target data
Picture is merged with history target data picture.
The data obtained from third party's data platform, preset target area and the monitoring of the data for needing to intercept
Frequency data intercept picture, and current sectional drawing and history sectional drawing are merged.With reference to figure 2, show that daily stock is bidded conjunction
And sectional drawing, the sectional drawing are intercepted in the market data of certain branch stock from third-party platform, preset in the market data of interception
Target area, and data cutout frequency (i.e. monitoring frequency), such as, target area can be set as one according to monitoring demand
Market data, the market data of a certain hour, the market data of certain minute, however it is not limited to this.Monitoring frequency is set as daily 1
It is secondary, it is every 1 it is small when 1 time, it is 30 minutes 1 time every, set according to user demand, setpoint frequency be not restricted at this.Shown in Fig. 2
In picture data splitting, daily market data is in the target area which sets, i.e., and 9：00-15：Market data between 00
As target data, interception frequency is once a day, by the picture currently intercepted and the combination picture combination producing of history interception
The aggregate auction figure of certain branch stock.Combination picture include day market picture depending on analysis demand, can be two days or more days
Market data combine.
Preferably, in the present embodiment, data are standardized before data sectional drawing, in extraction target data sectional drawing
It is preceding to be standardized the size of data, pixel, the consistent picture of generation size, pixel, so as in follow-up multilevel iudge data
When more directly perceived, especially artificial judgment.
Step 103, picture target data and extraction factor are identified, compares the factor and history of the target data of photo current
The factor of the target data of picture, judges whether the factor of current target data is abnormal.
In the present embodiment, mark of the threshold value of preset data exception as current data and historical data multilevel iudge exception is needed
It is accurate.Identify picture target data and extraction factor, the factor described in the present embodiment includes the amount of brining together, highest price, lowest price, opens
Disk valency, closing price, commission queue, commission the amount of buying, commission the amount of selling, exchange hand, transaction value, total market capitalisation, circulation value, turnover rate,
Measure one or more combinations than in.Factor extraction method includes database extraction, web crawlers, fuzzy diagnosis, engineering
One or more in habit.Compare the factor of the target data in photo current and the target data factor of history picture, if
Compare and exceed threshold value, then judge current data exception and make abnormal marking.Still by taking Fig. 2 as an example, which has only intercepted nearly 6
Day target data picture, wherein first 5 are the target data sectional drawings of first 5 days, the 6th is same day target data sectional drawing.Combination
Picture reflects all multi informations, and by taking the daily stock amount of brining together as an example, the stock amount of brining together on November 3 is 4275 hands, November 4
The amount of brining together is reduced to 724 hands, and the amount of brining together in November 7 to November 9 is respectively 796 hands, 2118 hands, 246 hands, to November 10 again
Increase to 7246 hands, the stock amount of brining together of closer 6 days, drops to low spot from high point and be raised again to high point, same day data are high point, i.e.,
There is abnormal signal, system marks anomalous content.With reference to the day line market data of the stock, ups and downs situation and the amount of brining together phase are found
, there is the amount of brining together and significantly improves, then indicate that this day market may rise sharply, investor is in relatively same day data and history on the 6th in symbol
Investment decision is made after data.Market data picture in the present embodiment combines and is not only used to the comparative analysis stock to the amount of brining together
Ticket trend, can also go out currently to whether there is other different conditions to current data and historical data comparative analysis, for example pass through ratio
Compared with price, exchange hand, market value, turnover rate etc. because usually judging data unusual fluctuation and mark, such as, combination picture shows continuous more
Day limit-up or limit down reflection have the suspicion manipulated the stock market.
Step 104, Outlier factor is marked.
Data unusual fluctuation monitoring method of the present invention is suitable for providing to investor, stock supervisory committee and other data monitorings personnel directly perceived
Data unusual action information, using this unusual action information be used as investment, administrative decision signal.
Embodiment two
The present embodiment is built upon the further improvement made on the basis of embodiment one, with reference to figure 3, shows the present invention
Two data unusual fluctuation monitoring method flow chart of embodiment.With reference to the factor of historical data, when the factor for judging current target data is deposited
When abnormal, anomalous content is marked, system sends alarm signal, and sends the different of mark to user by preconfigured account number
Normal information, for example by being pre-configured with mailbox, phone number etc., the warning message of current data unusual fluctuation is sent to user account number,
Or anomalous content is shown by default page user oriented.
Data unusual fluctuation monitoring method of the present invention is suitable for providing to investor, stock supervisory committee and other data monitorings personnel directly perceived
Data unusual action information, using this unusual action information be used as investment, administrative decision signal.
Embodiment three
The present invention also provides a kind of data unusual fluctuation monitoring device, as shown in figure 4, including：
Data acquisition module 401, suitable for obtaining data from data platform, which includes one in numeral, word, chart
Item or multinomial combination.
The present invention is compared data exception by taking stock information as an example analysis, from third party's data platform in the present embodiment
Data are obtained, third party's data platform includes straight flush, great wisdom, and the data platform that each stock trader provides, the data include
One or more combinations in numeral, word, chart.
Picture processing module 402, suitable for setting the target area of data and monitoring frequency extraction target data sectional drawing, and will
Current target data picture is merged with history target data picture.
The data obtained from third party's data platform, preset target area and the monitoring of the data for needing to intercept
Frequency data intercept picture, and current sectional drawing and history sectional drawing are merged.Preset the mesh in the market data of interception
Region, and data cutout frequency (i.e. monitoring frequency) are marked, such as, the row that target area can be set as one according to monitoring demand
Feelings data, the market data of a certain hour, the market data of certain minute, however it is not limited to this.Monitoring frequency be set as one time a day,
It is every 1 it is small when 1 time, it is 30 minutes 1 time every, set according to user demand, setpoint frequency be not restricted at this.
Preferably, in the present embodiment, data are standardized before data sectional drawing, in extraction target data sectional drawing
It is preceding to be standardized the size of data, pixel, the consistent picture of generation size, pixel, so as in follow-up multilevel iudge data
When more directly perceived, especially artificial judgment.
Abnormal judgment module 403, suitable for identification image data and extraction factor, compares the target data of photo current with going through
The target data of history picture, judges whether current target data exception and marks.
In the present embodiment, mark of the threshold value of preset data exception as current data and historical data multilevel iudge exception is needed
It is accurate.Identify picture target data and extraction factor, the factor described in the present embodiment includes the amount of brining together, highest price, lowest price, opens
Disk valency, closing price, commission queue, commission the amount of buying, commission the amount of selling, exchange hand, transaction value, total market capitalisation, circulation value, turnover rate,
Measure one or more combinations than in.Factor extraction method includes database extraction, web crawlers, fuzzy diagnosis, engineering
One or more in habit.Compare the factor of the target data in photo current and the target data factor of history picture, if
Compare and exceed threshold value, then judge current data exception.
Mark module 404, suitable for Outlier factor is marked.
When the multilevel iudge factor exceeds predetermined threshold value, Outlier factor is marked.If being no different constant factor, without mark
Note.
Data unusual fluctuation monitoring method of the present invention is suitable for providing to investor, stock supervisory committee and other data monitorings personnel directly perceived
Data unusual action information, using this unusual action information be used as investment, administrative decision signal.
Example IV
The present invention also provides a kind of computing device, including：
One or more processors；
Memory；And
One or more programs, wherein one or more of program storages are in the memory and are configured as by institute
One or more processors execution is stated, one or more of programs include being used to perform following method：
Data are obtained from data platform, the data include the combination of data, chart or data and chart；
Target area and the monitoring frequency extraction target data sectional drawing of data are set, and by current target data picture with going through
History target data picture merges；
Identify picture target data and extraction factor, compare the factor and the mesh of history picture of the target data of photo current
The factor of data is marked, judges whether the factor of current target data exception and marks.
Embodiment five
The present invention also provides a kind of computer-readable storage medium, the storage medium is stored with one or more programs, described
One or more programs include instruction, and described instruction is when executed by a computing apparatus so that the computing device such as lower section
Method：Data are obtained from data platform, the data include the combination of data, chart or data and chart；
Target area and the monitoring frequency extraction target data sectional drawing of data are set, and by current target data picture with going through
History target data picture merges；
Identify picture target data and extraction factor, compare the factor and the mesh of history picture of the target data of photo current
The factor of data is marked, judges whether the factor of current target data exception and marks.
Method, apparatus or module described in above-described embodiment, can specifically be realized by computer chip or entity, or by with
The product of certain function realizes, wherein, a kind of typical equipment is computer.Specifically, computer can be individual calculus
Machine, server, laptop computer, cell phone, camera phone, smart phone, personal digital assistant, media player, lead
Any equipment in equipment, electronic mail equipment, game console platform, tablet PC, wearable device or these equipment of navigating
Combination.
It will be understood by those skilled in the art that the embodiment of the present invention can provide method, system or computer program product.
Therefore, the present invention can use the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.Deposited moreover, the present invention can use one or more computers for wherein including computer usable program code can use
The shape for the computer program product that storage media is implemented on (including but not limited to magnetic disk storage, CD, ROM, optical memory etc.)
Formula.
The foregoing is merely the embodiment of the present invention, is not intended to limit the invention.To those skilled in the art,
The invention may be variously modified and varied.All any modifications made within spirit and principles of the present invention, equivalent substitution,
Improve etc., it should be included within scope of the presently claimed invention.
Claims (8)
- A kind of 1. data unusual fluctuation monitoring method, suitable for being performed in computing device, it is characterised in that comprise the following steps：A. data are obtained from data platform, the data include one or more combinations in numeral, word, chart；B. target area and the monitoring frequency extraction target data sectional drawing of data are set, and by current target data picture and history Target data picture merges；C. picture target data and extraction factor are identified, compares the factor and the target of history picture of the target data of photo current The factor of data, judges whether the factor of current target data is abnormal；D. Outlier factor is marked.
- 2. a kind of data unusual fluctuation monitoring method as claimed in claim 1, it is characterised in that in the step b：The target area includes day data, hour data, minute data；The monitoring frequency be set as one time a day, it is every 1 it is small when 1 time, it is 30 minutes 1 time every, however it is not limited to this.
- 3. data unusual fluctuation monitoring method as claimed in claim 1, it is characterised in that after the step a, before step b, also wrap The normalizing steps of data are included, by the size of data, pixel criterion before target data sectional drawing is extracted, generation size, The consistent picture of pixel.
- 4. data unusual fluctuation monitoring method as claimed in claim 1, it is characterised in that the step c is specifically included：Setting factor beforehand outlier threshold；Identify image data and extraction factor, the extracting method includes database extraction, web crawlers, fuzzy diagnosis, machine One or more in device study；Compare the factor of the target data in photo current and the target data factor of history picture, if comparing beyond threshold value, Judge current data exception and mark；The factor includes the amount of brining together, highest price, lowest price, opening price, closing price, committee Hold in the palm queue, commission the amount of buying, commission the amount of selling, exchange hand, transaction value, total market capitalisation, circulation value, turnover rate, amount ratio in one or Multinomial combination.
- 5. the data unusual fluctuation monitoring method as any one of claim 1-4, it is characterised in that alarming step is further included, When judging current data exception, abnormal marking information is sent to user by preconfigured account number, or by presetting the page Anomalous content is shown to user.
- 6. a kind of data unusual fluctuation monitoring device, including：Data acquisition module, suitable for obtaining data from data platform, the data include numeral, word, one in chart or Multinomial combination；Picture processing module, suitable for setting the target area of data and monitoring frequency extraction target data sectional drawing, and by current mesh Mark data picture is merged with history target data picture；Abnormal judgment module, suitable for identifying image data and extraction factor, compares the target data and history picture of photo current Target data, judge whether current target data abnormal；Mark module, suitable for Outlier factor is marked.
- 7. a kind of computing device, including：One or more processors；Memory；AndOne or more programs, wherein one or more of program storages are in the memory and are configured as by described one A or multiple processors perform, and one or more of programs include being used to perform according in claim 1-5 the methods The instruction of either method.
- 8. a kind of computer-readable storage medium, the storage medium is stored with one or more programs, one or more of programs Including instruction, described instruction is when executed by a computing apparatus so that computing device side according to claim 1-5 Either method in method.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109102080A (en) * | 2018-08-21 | 2018-12-28 | 广发证券股份有限公司 | A kind of numeric type finance data Quality Monitoring Control System and method |
| CN109409700A (en) * | 2018-10-10 | 2019-03-01 | 网宿科技股份有限公司 | A kind of configuration data confirmation method, business monitoring method and device |
| CN111143350A (en) * | 2019-11-27 | 2020-05-12 | 深圳壹账通智能科技有限公司 | Enterprise data monitoring method and device, computer equipment and storage medium |
| CN112468543A (en) * | 2020-11-12 | 2021-03-09 | 建信金融科技有限责任公司 | Method, device, equipment and computer readable medium for publishing information |
| CN113744059A (en) * | 2021-09-08 | 2021-12-03 | 上海擎创信息技术有限公司 | Method for monitoring and prompting stock index data |
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2017
- 2017-11-23 CN CN201711187044.XA patent/CN108022168A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109102080A (en) * | 2018-08-21 | 2018-12-28 | 广发证券股份有限公司 | A kind of numeric type finance data Quality Monitoring Control System and method |
| CN109102080B (en) * | 2018-08-21 | 2021-12-10 | 广发证券股份有限公司 | Numerical financial data quality monitoring system and method |
| CN109409700A (en) * | 2018-10-10 | 2019-03-01 | 网宿科技股份有限公司 | A kind of configuration data confirmation method, business monitoring method and device |
| CN109409700B (en) * | 2018-10-10 | 2022-03-08 | 网宿科技股份有限公司 | Configuration data confirmation method, service monitoring method and device |
| CN111143350A (en) * | 2019-11-27 | 2020-05-12 | 深圳壹账通智能科技有限公司 | Enterprise data monitoring method and device, computer equipment and storage medium |
| CN112468543A (en) * | 2020-11-12 | 2021-03-09 | 建信金融科技有限责任公司 | Method, device, equipment and computer readable medium for publishing information |
| CN112468543B (en) * | 2020-11-12 | 2023-04-07 | 建信金融科技有限责任公司 | Method, device, equipment and computer readable medium for publishing information |
| CN113744059A (en) * | 2021-09-08 | 2021-12-03 | 上海擎创信息技术有限公司 | Method for monitoring and prompting stock index data |
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