CN106992900A - The method and intelligent early-warning notification platform of monitoring and early warning - Google Patents
The method and intelligent early-warning notification platform of monitoring and early warning Download PDFInfo
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- CN106992900A CN106992900A CN201610037189.0A CN201610037189A CN106992900A CN 106992900 A CN106992900 A CN 106992900A CN 201610037189 A CN201610037189 A CN 201610037189A CN 106992900 A CN106992900 A CN 106992900A
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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
- H04L43/02—Capturing of monitoring data
- H04L43/028—Capturing of monitoring data by filtering
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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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Abstract
The invention discloses a kind of method of monitoring and early warning and intelligent early-warning notification platform, it is related to Internet technical field, when main purpose is to solve the business progress O＆M on to line, when exception occurs in some module in business on line, and during without being repaired in time to the abnormal module, monitoring programme can continue to send early warning mail, the problem of early warning mail for causing the operation maintenance personnel of business on line to receive spreads unchecked within the monitoring cycle.Technical scheme includes：Intelligent early-warning notification platform is monitored to the modules in business on line；Judge in modules with the presence or absence of abnormal；If it is determined that the operational blocks which partition system in modules has exception, then abnormal corresponding abnormity early warning information is generated；Abnormity early warning information is filtered according to default filtering policy, redundancy abnormity early warning information is removed；The abnormity early warning information removed after redundancy is sent to line to the O＆M terminal device of business.During business on O＆M line.
Description
Technical field
The present invention relates to Internet technical field, the method and intelligence of more particularly to a kind of monitoring and early warning
Pre-alert notification platform.
Background technology
With the fast development and popularization of Internet technology, on the line in Internet firm, business is also therewith
Increase, and it is business O＆M work on line to find and handle the various emergency situations that business occurs on line in time
An important content in work.
Business is typically made up of multiple modules on line, and the work between multiple modules is complemented each other, and
On line in the real work of business, each module exists and abnormal possibility occurs, for example：Working set
Group's division, database can not be connected, and server can not provide service etc.；When appointing in business on line
When module of anticipating occurs abnormal, the normal operation of business on whole line may be influenceed.At present, on line
During the O＆M process of business, typically it can increase corresponding monitoring programme for the modules in business on line,
When the corresponding monitoring programme of some module in business on line occurs abnormal, the monitoring programme is to send
The modes such as early warning mail notify the operation maintenance personnel of business on line.
In order to ensure monitoring programme monitors the promptness noted abnormalities in modules, monitoring programme is usual
Modules are monitored with the shorter monitoring cycle, when exception, and industry on line occurs in a module
When the operation maintenance personnel of business to the abnormal module without repairing in time, monitoring programme is within the monitoring cycle
It can continue to send early warning mail, the early warning mail for causing the operation maintenance personnel of business on line to receive spreads unchecked；
In addition, on line in business, when a module occurs abnormal, often bringing this abnormal module of dependence
Other modules also there is exception, the corresponding monitoring programme of multiple modules is respectively to the O＆M of business on line
Personnel send early warning mail, and the operation maintenance personnel reception early warning mail for further resulting in business on line spreads unchecked.
The content of the invention
In view of this, the method and intelligent early-warning notification platform for a kind of monitoring and early warning that the present invention is provided,
When main purpose is to solve the business progress O＆M on to line, when some module in business on line goes out
It is now abnormal, and on line business operation maintenance personnel without being repaired in time to the abnormal module when, monitor
Program can continue to send early warning mail within the monitoring cycle, cause the operation maintenance personnel of business on line to receive
Early warning mail the problem of spread unchecked.
In order to solve the above problems, present invention generally provides following technical scheme：
In a first aspect, the invention provides a kind of method of monitoring and early warning, this method includes：
Modules in business on line are monitored；
Judge in the modules with the presence or absence of abnormal；
If it is determined that the operational blocks which partition system in the modules has exception, then the exception is generated corresponding
Abnormity early warning information；Module id is included in the abnormity early warning information, the module id is used for only
Module on one tag line in business；
The abnormity early warning information is filtered according to default filtering policy, redundancy abnormity early warning is removed
Information；
The abnormity early warning information removed after redundancy is sent to the O＆M terminal device of the business to the line.
Second aspect, the present invention also provides a kind of intelligent early-warning notification platform, and the intelligent early-warning notifies flat
Platform includes：Preset service observation system and preset notice early warning system, wherein,
The preset service observation system includes：
Monitoring unit, for being monitored to the modules in business on line；
Judging unit, for being monitored in the monitoring unit to the modules in business on line
Cheng Zhong, judges in the modules with the presence or absence of abnormal；
Generation unit, for determining that the operational blocks which partition system in the modules is present when the judging unit
When abnormal, the corresponding abnormity early warning information of the exception is generated；Mould is included in the abnormity early warning information
Block identification, the module id is used for the module in business on unique mark line；
The preset notice early warning system includes：
Filter element, the exception for being generated according to default filtering policy to the generation unit is pre-
Alert information is filtered；
Removal unit, for the process filtered in the filter element to the abnormity early warning information
In, remove redundancy abnormity early warning information；
Transmitting element, sends to institute for the removal unit to be removed to the abnormity early warning information after redundancy
State the O＆M terminal device of business on line.
By above-mentioned technical proposal, the technical scheme that the present invention is provided at least has following advantages：
The method and intelligent early-warning notification platform for the monitoring and early warning that the present invention is provided, intelligent early-warning notify flat
Platform is monitored to the modules of business on line, and is judged with the presence or absence of exception in the modules,
When intelligent early-warning notification platform determines the operational blocks which partition system presence exception on line in the modules of business,
Generate and module id is included in the corresponding abnormity early warning information of the exception, the abnormity early warning information, wherein,
The module id is used for the module in business on unique mark line；According to default filtering policy to generation
Abnormity early warning information is filtered, and removes redundancy abnormity early warning information；Intelligent early-warning notification platform will be gone
Except the abnormity early warning information after redundancy sends to line the O＆M terminal device of business；With in the prior art
Monitoring programme can continue to send early warning mail within the monitoring cycle, cause the operation maintenance personnel of business on line to connect
The early warning mail received, which spreads unchecked, to be compared, and the present invention in monitoring module when having abnormal, to the exception
Corresponding abnormity early warning information is filtered, and removes the abnormity early warning information of redundancy, can either be compactly
Abnormity early warning information is sent to line to the O＆M terminal device of business, without causing O＆M terminal to set
It is standby to receive spreading unchecked for abnormity early warning information；It can ensure that on line that business O＆M terminal device is quickly searched again different
The promptness in norm root tuber source.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the present invention's
Technological means, and being practiced according to the content of specification, and in order to allow the above-mentioned of the present invention and
Other objects, features and advantages can become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantage and benefit for
Those of ordinary skill in the art will be clear understanding.Accompanying drawing is only used for showing the mesh of preferred embodiment
, and it is not considered as limitation of the present invention.And in whole accompanying drawing, with identical with reference to symbol
Number represent identical part.In the accompanying drawings：
Fig. 1 shows a kind of flow chart of the method for monitoring and early warning provided in an embodiment of the present invention；
Fig. 2 shows a kind of composition frame chart of intelligent early-warning notification platform provided in an embodiment of the present invention；
Fig. 3 shows the composition frame chart of another intelligent early-warning notification platform provided in an embodiment of the present invention.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing in accompanying drawing
The exemplary embodiment of the disclosure is shown, it being understood, however, that may be realized in various forms the disclosure
Without that should be limited by embodiments set forth here.Conversely it is able to more there is provided these embodiments
Thoroughly understand the disclosure, and can be by the technology for conveying to this area of the scope of the present disclosure completely
Personnel.
The embodiment of the present invention provides a kind of method of monitoring and early warning, and this method is notified applied to intelligent early-warning
In platform, as shown in figure 1, this method includes：
101st, the modules in business on line are monitored.
On the line business to be completed by computer supported, user is interacted by internet, and work as
The business of preceding operation；Business is typically made up of multiple modules on line, may independent work between those modules
Make, it is also possible to need complementary cooperative work between multiple modules.In the embodiment of the present invention, line
Upper business can be including but not limited to herein below, such as：Social networking application program, website, electronics
Map, Online Video etc., the embodiment of the present invention is to the particular content of business on line without limiting.
It is used as a kind of implementation of the embodiment of the present invention, intelligent early-warning notification platform business on to line
In modules when being monitored, first, intelligent early-warning notification platform is set up with business on line and communicated
Connection, the monitoring to business on the line is realized by the access to business on line；It is used as present invention implementation
Another implementation of example, modules of the intelligent early-warning notification platform on to line in business are carried out
During monitoring, by the preset access interface in business on line, realize to modules in business on line
Monitoring.The embodiment of the present invention is to the specific implementation of business monitoring on line without limiting.
102nd, judge in the modules with the presence or absence of abnormal.
When intelligent early-warning notification platform judges that modules are with the presence or absence of exception in business on line, root
According to the different type of business on line, write on line that programming language is judged used in business, it is different
Line on business there is abnormal mode there is also difference.
103rd, if it is determined that the operational blocks which partition system in the modules has exception, then the exception is generated right
The abnormity early warning information answered.
The purpose of intelligent early-warning notification platform generation abnormity early warning information is, it is determined that abnormal institute is on line
The module position of business, determine it is abnormal the reason for occur, so as on line business O＆M terminal device to this
It is abnormal to be repaired in time.Wherein, can be including but not limited to following in the abnormity early warning information
Content, for example：Module id, O＆M Terminal Equipment Identifier information, exception level, exception occur
Reason etc., wherein, the module id is used for the module in business on unique mark line.The present invention
Embodiment is less defined to the particular content included in abnormity early warning information.
104th, the abnormity early warning information is filtered according to default filtering policy, removes redundancy abnormal
Warning information.
The purpose that intelligent early-warning notification platform is filtered according to default filtering policy to abnormity early warning information
It is, when business O＆M terminal device is not repaired to abnormity early warning information in time on line, prevents
Intelligent early-warning notification platform persistently sends identical abnormity early warning information to O＆M terminal device, with
Reduce resource overhead and prevention redundancy early warning.
105th, the O＆M terminal that the abnormity early warning information removed after redundancy is sent into the business to the line is set
It is standby.
The abnormity early warning information removed after redundancy is sent to line to the O＆M terminal device of business, so as to
The O＆M terminal device carries out timely repair process according to the abnormity early warning information to abnormal.It is pre- in intelligence
Alert notification platform to O＆M terminal device send abnormity early warning information when, can be by sending the side of mail
Formula；Or, can also be by way of sending short message etc., the embodiment of the present invention is logical to intelligent early-warning
Know that platform sends the specific implementation of abnormity early warning information without limiting to O＆M terminal device.
The method of monitoring and early warning provided in an embodiment of the present invention, intelligent early-warning notification platform is to business on line
Modules be monitored, and judge in the modules with the presence or absence of abnormal, work as intelligent early-warning
When notification platform determines that the operational blocks which partition system on line in the modules of business has abnormal, the exception is generated
Module id is included in corresponding abnormity early warning information, the abnormity early warning information, wherein, the module mark
Know the module in business on unique mark line；According to abnormity early warning of the default filtering policy to generation
Information is filtered, and removes redundancy abnormity early warning information；Intelligent early-warning notification platform will be removed after redundancy
Abnormity early warning information send to line the O＆M terminal device of business；With monitoring programme in the prior art
It can continue to send early warning mail within the monitoring cycle, that causes that the operation maintenance personnel of business on line receives is pre-
Alert mail, which spreads unchecked, to be compared, and the embodiment of the present invention is abnormal right to this when having abnormal in monitoring module
The abnormity early warning information answered is filtered, remove redundancy abnormity early warning information, can either compactly by
Abnormity early warning information sends to line the O＆M terminal device of business, without causing O＆M terminal device
Receive spreading unchecked for abnormity early warning information；Business O＆M terminal device fast finding abnormal on line is can ensure that again
The promptness of module root.
Further, as the refinement and extension to method shown in Fig. 1, step 104 intelligent early-warning leads to
When knowing that platform is filtered according to default filtering policy to the abnormity early warning information, it can use but not
Following mode is confined to, it is as follows：
Mode one：The filter type of the hierarchical structure of module early warning.
The hierarchical structure filter type of module early warning refers in the first preset time threshold value, intelligent early-warning
Notification platform determines whether the abnormity early warning information generates according to different modules；If it is determined that described different
Normal warning information is generated according to different modules, it is determined that the corresponding source mould of the abnormity early warning information
Block, and other abnormity early warning information are filtered.I.e. when intelligent early-warning notification platform is pre- first
At least two modules on determination line in business in time threshold are put, such as：Modules A, module B, module
When C ... has abnormal, in order to avoid occurred abnormal module is set to business O＆M terminal on line
Preparation send abnormity early warning information, and causes ample resources expense and redundancy early warning, first, intelligent early-warning
Notification platform needs to judge to whether there is dependence or incidence relation between those abnormal modules, with
The corresponding source module of abnormity early warning information is determined, only by the corresponding abnormity early warning information of the source module
Send to O＆M terminal device, the module for exception occur without that will rely on the source module is given birth to
Into abnormity early warning information send to line business O＆M terminal device.
Elaborated in order to the hierarchical structure filter type to module early warning, below will be to show
The form of example illustrates to it.Exemplary, it is assumed that modules A, module B, mould are included on line in business
Block C, when the exception of A1 types occurs in modules A, necessarily has module B and the different of B2 types occurs
Often, meanwhile, the mistake of C3 types necessarily occurs in module C, when simultaneously intelligent early-warning notification platform is supervised
When controlling A1, B2, C3 exception, it can be determined that abnormal source module is modules A, then intelligence is pre-
Alert notification platform is filtered the dependent module B abnormity early warning information relevant with module C, will only be had
The abnormity early warning information for closing modules A is sent to O＆M terminal device, to ensure not resulting in O＆M
Terminal device receives spreading unchecked for abnormity early warning information.
In addition, intelligent early-warning notification platform determine the corresponding source module of the abnormity early warning information it
Before, intelligent early-warning notification platform determines the hierarchical structure of the modules in business on the line；The layer
Level structure is determined on line is generated during business.In actual application, intelligent early-warning notification platform
Business sends the solicited message for the hierarchical structure for obtaining modules on to line, and service response should on line
After solicited message, you can determine the hierarchical structure of the modules on line in business.It is determined that described
During the corresponding source module of abnormity early warning information, the level based on the modules in business on the line
The corresponding source module of abnormity early warning information described in structure determination.Intelligent early-warning notification platform can be quick
The root of abnormal appearance is navigated to, to cause O＆M terminal device to repair the exception in time.
Mode two：The filter type of cool time after early warning.
The hierarchical structure filter type of module early warning refers in the second preset time threshold value, it is determined whether
There is abnormity early warning information described in identical；If it is determined that there is identical institute in the second preset time threshold value
Abnormity early warning information is stated, then to abnormity early warning information duplicate removal described in identical.This kind of mode can be effective
The transmission frequency of abnormity early warning information is reduced, the problem of spreading unchecked is sent to solve abnormity early warning information.
Sent it should be noted that mode two is applied to intelligent early-warning notification platform to O＆M terminal device
After abnormity early warning information.Exemplary, it is assumed that intelligent early-warning notification platform is to business on line
In modules the monitoring cycle be 30s, when intelligent early-warning notification platform send this abnormity early warning
After information I, in the second preset time threshold value 5min, if the generation of intelligent early-warning notification platform is multiple
Abnormity early warning information I, then generation in the second preset time threshold value 5min of intelligent early-warning notification platform meeting
Abnormity early warning information I carries out duplicate removal, when more than the second preset time threshold value 5min, and intelligent early-warning leads to
Know that platform can send an abnormity early warning information I again to O＆M terminal device, reduce abnormity early warning letter
The transmission frequency of breath.Exemplary citing is these are only, the embodiment of the present invention notifies flat to intelligent early-warning
The monitoring cycle of platform, the particular content of the second preset time threshold value are without limiting.
Mode three：The filter type of exception level and cumulative number.
The filter type of exception level and cumulative number refers to that intelligent early-warning notification platform determines the exception
The exception level of warning information；If it is determined that the exception level meets filter condition, that is, determine described different
The exception level of normal grade is relatively low, then in the 3rd preset time threshold value, accumulative to meet filter condition
Second actual quantity of the abnormity early warning information；If second actual quantity meets default filtering threshold
Value, then filter to the abnormity early warning information.
Wherein, the relatively low generation for referring to the exception of the exception level does not interfere with the normal of business on line
Operation.Exemplary, it is assumed that intelligent early-warning notification platform is monitored in modules A in picture for the first time
During display, the picture size that there is loading is abnormal, and intelligent early-warning notification platform record monitors the exception
At the time of, and from this moment, it is accumulative to be somebody's turn to do in the 3rd preset time threshold time interval
The second abnormal actual quantity is 5, if default filtering threshold is more than 10, and the second actual quantity 5
Less than default filtering threshold 10, then the exception is filtered, illustrate that the exception need not be to O＆M terminal
Equipment is sent；If accumulative the second actual quantity for the exception occur is 11, and this is abnormal corresponding different
Normal warning information is sent to O＆M terminal device, so that the O＆M terminal device is repaired to the abnormal information.
In embodiments of the present invention, above-mentioned first preset time threshold value, the second preset time threshold value and
Business operation maintenance personnel can be configured to it according to actual needs on three preset time threshold values, line, this
Inventive embodiments are to the first preset time threshold value, the second preset time threshold value and the 3rd preset time threshold value
Specific setting numerical value without limit.
It should be noted that in actual applications, intelligent early-warning notification platform is to abnormity early warning information
, can be by aforesaid way one, mode two and three any two kinds of mode or above-mentioned three kinds when being filtered
Mode is combined, more accurately to be filtered to abnormity early warning information.Wherein, relevant mode one,
The detailed description of any two kinds of combination, refer to permutation and combination algorithm in mode two and mode three,
No longer repeated herein.
In the specific implementation, preset service observation system is included in intelligent early-warning notification platform and preset logical
Know early warning system.Wherein, preset service observation system includes scheduler and detector plug-in unit, and it is acted on
For：Modules in business on line are monitored and the arbitrary mould on line in business ought be monitored
When having abnormal in block, the corresponding abnormity early warning information of the exception is generated, and by the abnormity early warning information
Send to preset notice early warning system；The preset effect for notifying early warning system is：Receive preset business
The abnormity early warning information that inspection system is sent, and abnormity early warning information is carried out according to default filtering policy
Filtering, removes redundancy abnormity early warning information；The abnormity early warning information removed after redundancy is sent to line
The O＆M terminal device of business.
Intelligent early-warning notification platform performs the premise of monitoring and early warning to start intelligent early-warning notification platform, from
User level says that user double-clicks the entrance icon of intelligent early-warning notification platform, starts the intelligent early-warning and leads to
Know platform；Realize that aspect is said from technology, intelligent early-warning notification platform receives enabled instruction, the startup refers to
Make for starting intelligent early-warning notification platform, and perform the enabled instruction, to realize startup intelligent early-warning
Notification platform.
In actual applications, after the startup of intelligent early-warning notification platform, intelligent early-warning notification platform is adjusted
With preset service observation system, realized by preset service observation system to modules in business on line
Monitoring, scheduler one and only one, for being scheduled to detector plug-in unit, the embodiment of the present invention
In preset service observation system include multiple detector plug-in units.Detector plug-in unit is used in business on line
Modules be monitored, may be monitored, also may be used by a detector plug-in unit in a module
It can be monitored in a module by least two detector plug-in units；The embodiment of the present invention to this without
Limit.
When modules of the preset service observation system on to the line in business are monitored, scheduling
Device obtains the inspection catalogue determined, is loaded into detector plug-in unit based on the inspection catalogue and transfers in device,
Scheduler after operation loading, to realize the monitoring to modules in business on line.Need explanation
It is to check the detector plug-in unit that is stored with catalogue, the detector plug-in unit is a file, only when this
When detector plug-in unit is loaded into scheduler, the detector plug-in unit (file) could be run, with reality
Now to the monitoring of modules in business on line.
Modules in business on the line are monitored by the scheduler after operation loading, and it has
Body implementation is：The detector plug-in unit is parsed, obtains pre- in the detector plug-in unit
Put parameter；Wherein, the preset parameter is used to start preset inspection process；Start preset inspection process,
Modules in business on the line are monitored.It should be noted that in order to ensure each module
Middle detector plug-in unit can be unified loading and use, it is necessary to provide in intelligent early-warning notification platform
The interface of each module check device plug-in unit, identical interface is realized by using detector plug-in unit, it is ensured that
The exception that each detector plug-in unit is monitored, and the corresponding abnormity early warning information of exception of generation are set up in system
Under one framework, with clearly hierarchical structure.
Further, as the realization to method shown in above-mentioned Fig. 1, another embodiment of the present invention is also carried
A kind of intelligent early-warning notification platform is supplied.The intelligent early-warning notification platform embodiment is implemented with preceding method
Example correspondence, for ease of reading, this intelligent early-warning notification platform embodiment is no longer to preceding method embodiment
In detail content repeated one by one, it should be understood that intelligent early-warning in the present embodiment notifies flat
Platform can correspond to the full content realized in preceding method embodiment.
The embodiment of the present invention provides a kind of intelligent early-warning notification platform, as shown in Fig. 2 the intelligent early-warning
Notification platform includes：Including preset service observation system I and preset notice early warning system II, wherein,
The preset service observation system I includes：
Monitoring unit 21, for being monitored to the modules in business on line；
Judging unit 22, for being supervised in the monitoring unit 21 to the modules in business on line
During control, judge in the modules with the presence or absence of abnormal；
Generation unit 23, for determining the operational blocks which partition system in the modules when the judging unit 22
In the presence of it is abnormal when, generate the corresponding abnormity early warning information of the exception；Wrapped in the abnormity early warning information
Containing module id, the module id is used for the module in business on unique mark line；
The preset notice early warning system II includes：
Filter element 24, for according to default filtering policy the generation unit 23 is generated it is described different
Normal warning information is filtered；
Removal unit 25, for what is filtered in 24 pairs of the filter element abnormity early warning information
During, remove redundancy abnormity early warning information；
Transmitting element 26, sends for the removal unit 25 to be removed into the abnormity early warning information after redundancy
The O＆M terminal device of business on to the line.
Explanation is needed, preset service observation system I includes scheduler and detector plug-in unit, the scheduling
The combined use of device and detector plug-in unit can realize monitoring unit 21, judging unit 22 and judging unit
22 effect, including：Modules in business on line are monitored and worked as and monitor industry on line
When having abnormal in the operational blocks which partition system in business, the corresponding abnormity early warning information of the exception is generated, and should
Abnormity early warning information is sent to preset notice early warning system II；
Intelligent early-warning notification platform calls preset service observation system I, real by preset service observation system I
Now to the monitoring of modules in business on line, scheduler one and only one, for detector insert
Part is scheduled, and preset service observation system I includes multiple detector plug-in units in the embodiment of the present invention.Inspection
Looking into device plug-in unit is used to be monitored the modules in business on line, may be by one in a module
Detector plug-in unit is monitored, it is also possible to be monitored in a module by least two detector plug-in units.
Further, as shown in figure 3, the filter element 24 includes：
First determining module 241, in the first preset time threshold value, determining the abnormity early warning letter
Whether breath is according to different module generations；
Second determining module 242, when first determining module 241 determines that the abnormity early warning information is
During according to different module generations, the corresponding source module of the abnormity early warning information is determined；
First filtering module 243, for determining the abnormity early warning letter in second determining module 242
Cease after corresponding source module, the abnormity early warning information generated according to other modules is filtered.
Further, as shown in figure 3, the filter element 24 also includes：
3rd determining module 244, for determining the abnormity early warning letter in second determining module 242
Cease before corresponding source module, determine the hierarchical structure of the modules on the line in business；
Second determining module 242, is additionally operable to based on described in the 3rd determining module 244 determination
The hierarchical structure of modules on line in business determines the corresponding source mould of the abnormity early warning information
Block.
Further, as shown in figure 3, the filter element 24, in addition to：
4th determining module 245, in the second preset time threshold value, it is determined whether there is identical
The abnormity early warning information；
Deduplication module 246, for determining to exist exception described in identical when the 4th determining module 245
During warning information, to abnormity early warning information duplicate removal described in identical.
Further, as shown in figure 3, the filter element 24, in addition to：
5th determining module 247, the exception level for determining the abnormity early warning information；
Accumulation module 248, for determining that the exception level met when the 5th determining module 247
During filter condition, in the 3rd preset time threshold value, the accumulative abnormity early warning letter for meeting filter condition
Second actual quantity of breath；
Second filtering module 249, for when accumulative second actual quantity of the accumulation module 248
When meeting default filtering threshold, the abnormity early warning information is filtered.
Intelligent early-warning notification platform provided in an embodiment of the present invention, intelligent early-warning notification platform is to industry on line
The modules of business are monitored, and are judged with the presence or absence of abnormal in the modules, when intelligence is pre-
When alert notification platform determines that the operational blocks which partition system on line in the modules of business has abnormal, this is generated different
Module id is included in normal corresponding abnormity early warning information, the abnormity early warning information, wherein, the module
Identify the module in business on unique mark line；According to default filtering policy to the abnormal pre- of generation
Alert information is filtered, and removes redundancy abnormity early warning information；Intelligent early-warning notification platform will remove redundancy
Abnormity early warning information afterwards sends to line the O＆M terminal device of business；With monitoring journey in the prior art
Sequence can continue to send early warning mail within the monitoring cycle, cause what the operation maintenance personnel of business on line was received
Early warning mail, which spreads unchecked, to be compared, and the embodiment of the present invention in monitoring module when having abnormal, to the exception
Corresponding abnormity early warning information is filtered, and removes the abnormity early warning information of redundancy, can either be compactly
Abnormity early warning information is sent to line to the O＆M terminal device of business, without causing O＆M terminal to set
It is standby to receive spreading unchecked for abnormity early warning information；It can ensure that on line that business O＆M terminal device is quickly searched again different
The promptness in norm root tuber source.
The intelligent early-warning notification platform includes processor and memory, and above-mentioned monitoring unit, judgement are single
Member, generation unit, filter element, removal unit and transmitting element etc. are stored in as program unit
In memory, corresponding work(is realized by the said procedure unit of computing device storage in memory
Energy.
Kernel is included in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can
To set one or more, when the business progress O＆M on to line is solved by adjusting kernel parameter,
When some module in business on line occur it is abnormal, and on line business operation maintenance personnel without in time to this
When abnormal module is repaired, monitoring programme can continue to send early warning mail within the monitoring cycle, cause
The problem of early warning mail that the operation maintenance personnel of business is received on line spreads unchecked.
Memory potentially includes the volatile memory in computer-readable medium, random access memory
The form such as device (RAM) and/or Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash
RAM), memory includes at least one storage chip.
Present invention also provides a kind of computer program product, when being performed on data processing equipment,
It is adapted for carrying out the program code of initialization there are as below methods step：Intelligent early-warning notification platform is to industry on line
Modules in business are monitored；Judge in the modules with the presence or absence of abnormal；If it is determined that institute
There is exception in the operational blocks which partition system stated in modules, then generate the corresponding abnormity early warning information of the exception；
Module id is included in the abnormity early warning information, the module id is used for business on unique mark line
In module；The abnormity early warning information is filtered according to default filtering policy, redundancy is removed different
Normal warning information；The O＆M that the abnormity early warning information removed after redundancy is sent into the business to the line is whole
End equipment.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, some reality
The part for not having to be described in detail in example is applied, the associated description of other embodiment is may refer to.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system,
Or computer program product.Therefore, the application can be implemented using complete hardware embodiment, complete software
The form of embodiment in terms of example or combination software and hardware.Moreover, the application can be used at one
Or multiple computer-usable storage mediums for wherein including computer usable program code are (including but not
Be limited to magnetic disk storage, CD-ROM, optical memory etc.) on the computer program product implemented
Form.
The application is with reference to the method, equipment (system) and computer program according to the embodiment of the present application
The flow chart and/or block diagram of product is described.Flowed it should be understood that can be realized by computer program instructions
In each flow and/or square frame and flow chart and/or block diagram in journey figure and/or block diagram
Flow and/or square frame combination.Can provide these computer program instructions to all-purpose computer, specially
With the processor of computer, Embedded Processor or other programmable data processing devices to produce one
Machine so that produced by the instruction of computer or the computing device of other programmable data processing devices
It is raw to be used to realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple sides
The device for the function of being specified in frame.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable datas to handle
In the computer-readable memory that equipment works in a specific way so that be stored in this and computer-readable deposit
Instruction in reservoir, which is produced, includes the manufacture of command device, and command device realization is in flow chart one
The function of being specified in flow or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions can also be loaded into computer or other programmable data processing devices
On so that series of operation steps is performed on computer or other programmable devices to produce computer
The processing of realization, so that the instruction performed on computer or other programmable devices is provided for realizing
Specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
The step of function.
In a typical configuration, computing device include one or more processors (CPU), input/
Output interface, network interface and internal memory.
Memory potentially includes the volatile memory in computer-readable medium, random access memory
The form such as device (RAM) and/or Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash
RAM).Memory is the example of computer-readable medium.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be with
Realize that information is stored by any method or technique.Information can be computer-readable instruction, data knot
Structure, the module of program or other data.The example of the storage medium of computer includes, but are not limited to phase
Become internal memory (PRAM), static RAM (SRAM), dynamic random access memory
(DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electricity can
Erasable programmable read-only memory (EPROM) (EEPROM), fast flash memory bank or other memory techniques, read-only light
Disk read-only storage (CD-ROM), digital versatile disc (DVD) or other optical storages, magnetic
Cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus or any other non-transmission medium,
The information that can be accessed by a computing device available for storage.Defined according to herein, it is computer-readable
Medium does not include temporary computer readable media (transitory media), the data-signal and load of such as modulation
Ripple.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to contain
Lid nonexcludability is included, so that process, method, commodity including a series of key elements or setting
It is standby not only to include those key elements, but also other key elements including being not expressly set out, or also wrap
Include as this process, method, commodity or the intrinsic key element of equipment.In the feelings of not more limitations
Under condition, the key element limited by sentence "including a ...", it is not excluded that the process including key element,
Also there is other identical element in method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or calculating
Machine program product.Therefore, the application can use complete hardware embodiment, complete software embodiment or knot
The form of embodiment in terms of conjunction software and hardware.Moreover, the application can use it is one or more its
In include computer usable program code computer-usable storage medium (include but is not limited to disk
Memory, CD-ROM, optical memory etc.) on the form of computer program product implemented.
Embodiments herein is these are only, the application is not limited to.For this area skill
For art personnel, the application can have various modifications and variations.It is all spirit herein and principle it
Interior made any modification, equivalent substitution and improvements etc., should be included in claims hereof model
Within enclosing.
Claims (10)
1. a kind of method of monitoring and early warning, it is characterised in that including：
Modules in business on line are monitored；
Judge in the modules with the presence or absence of abnormal；
If it is determined that the operational blocks which partition system in the modules has exception, then the exception is generated corresponding
Abnormity early warning information；Module id is included in the abnormity early warning information, the module id is used for only
Module on one tag line in business；
The abnormity early warning information is filtered according to default filtering policy, redundancy abnormity early warning is removed
Information；
The abnormity early warning information removed after redundancy is sent to the O＆M terminal device of the business to the line.
2. according to the method described in claim 1, it is characterised in that according to default filtering policy to institute
Stating the progress filtering of abnormity early warning information includes：
Whether in the first preset time threshold value, it is according to different moulds to determine the abnormity early warning information
Block is generated；
If it is determined that the abnormity early warning information is to be generated according to different modules, it is determined that the exception is pre-
The corresponding source module of police's information, and the abnormity early warning information generated according to other modules is filtered.
3. method according to claim 2, it is characterised in that it is determined that the abnormity early warning is believed
Cease before corresponding source module, methods described also includes：
Determine the hierarchical structure of the modules on the line in business；
Determine that the corresponding source module of the abnormity early warning information includes：
Hierarchical structure based on the modules in business on the line determines the abnormity early warning information pair
The source module answered.
4. according to the method described in claim 1, it is characterised in that according to default filtering policy to institute
Stating the progress filtering of abnormity early warning information includes：
In the second preset time threshold value, it is determined whether there is abnormity early warning information described in identical；
If it is determined that there is abnormity early warning information described in identical, then to abnormity early warning information described in identical
Duplicate removal.
5. according to the method described in claim 1, it is characterised in that according to default filtering policy to institute
Stating the progress filtering of abnormity early warning information includes：
Determine the exception level of the abnormity early warning information；
If it is determined that the exception level meets filter condition, then in the 3rd preset time threshold value, add up
Meet the second actual quantity of the abnormity early warning information of filter condition；
If second actual quantity meets default filtering threshold, the abnormity early warning information is carried out
Filtering.
6. a kind of intelligent early-warning notification platform, it is characterised in that including preset service observation system and in advance
Notice early warning system is put, wherein,
The preset service observation system includes：
Monitoring unit, for being monitored to the modules in business on line；
Judging unit, for being monitored in the monitoring unit to the modules in business on line
Cheng Zhong, judges in the modules with the presence or absence of abnormal；
Generation unit, for determining that the operational blocks which partition system in the modules is present when the judging unit
When abnormal, generate in the corresponding abnormity early warning information of the exception, the abnormity early warning information and include mould
Block identification, the module id is used for the module in business on unique mark line；
The preset notice early warning system includes：
Filter element, the exception for being generated according to default filtering policy to the generation unit is pre-
Alert information is filtered；
Removal unit, for the process filtered in the filter element to the abnormity early warning information
In, remove redundancy abnormity early warning information；
Transmitting element, sends to institute for the removal unit to be removed to the abnormity early warning information after redundancy
State the O＆M terminal device of business on line.
7. intelligent early-warning notification platform according to claim 6, it is characterised in that the filtering
Unit includes：
First determining module, in the first preset time threshold value, determining the abnormity early warning information
Whether it is according to different module generations；
Second determining module, when first determining module determines that the abnormity early warning information is according to not
When same module is generated, the corresponding source module of the abnormity early warning information is determined；
First filtering module, for determining the abnormity early warning information correspondence in second determining module
Source module after, the abnormity early warning information generated according to other modules is filtered.
8. intelligent early-warning notification platform according to claim 7, it is characterised in that the filtering
Unit also includes：
3rd determining module, for determining the abnormity early warning information correspondence in second determining module
Source module before, determine the hierarchical structure of the modules on the line in business；
Second determining module, is additionally operable to industry on the line based on the 3rd determining module determination
The hierarchical structure of modules in business determines the corresponding source module of the abnormity early warning information.
9. intelligent early-warning notification platform according to claim 6, it is characterised in that the filtering
Unit, in addition to：
4th determining module, in the second preset time threshold value, it is determined whether there is identical institute
State abnormity early warning information；
Deduplication module, for determining that there is abnormity early warning described in identical believes when the 4th determining module
During breath, to abnormity early warning information duplicate removal described in identical.
10. intelligent early-warning notification platform according to claim 6, it is characterised in that the mistake
Unit is filtered, in addition to：
5th determining module, the exception level for determining the abnormity early warning information；
Accumulation module, for determining that the exception level meets filter condition when the 5th determining module
When, in the 3rd preset time threshold value, the of the accumulative abnormity early warning information for meeting filter condition
Two actual quantities；
Second filtering module, for meeting pre- when second actual quantity that the accumulation module adds up
If during filtering threshold, being filtered to the abnormity early warning information.
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| CN109634814A (en) * | 2018-12-14 | 2019-04-16 | 平安城市建设科技(深圳)有限公司 | Fault early warning method, equipment, storage medium and device based on log stream |
| CN110109825A (en) * | 2019-04-12 | 2019-08-09 | 平安普惠企业管理有限公司 | Method for early warning and relevant apparatus on line |
| CN110225299A (en) * | 2019-05-06 | 2019-09-10 | 平安科技（深圳）有限公司 | Video monitoring method, device, computer equipment and storage medium |
| CN110740059A (en) * | 2019-10-11 | 2020-01-31 | 支付宝(杭州)信息技术有限公司 | Online early warning processing method and system |
| CN111143435A (en) * | 2019-12-27 | 2020-05-12 | 杭州泽达鑫药盟信息科技有限公司 | Medicine cloud platform big data abnormity online early warning method based on statistical generation model |
| CN111176868A (en) * | 2018-11-13 | 2020-05-19 | 北京嘀嘀无限科技发展有限公司 | Abnormal information monitoring method, device, equipment and computer readable storage medium |
| CN111324514A (en) * | 2020-03-18 | 2020-06-23 | 深圳市卡牛信息科技有限公司 | System abnormity monitoring method, device, equipment and storage medium |
| CN112860504A (en) * | 2019-11-26 | 2021-05-28 | 北京京东尚科信息技术有限公司 | Monitoring method and device, computer storage medium and electronic equipment |
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Application publication date: 20170728 |
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