CN105989090A - Critical data processing method and device as well as critical data display method and system - Google Patents
Critical data processing method and device as well as critical data display method and system Download PDFInfo
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Abstract
The invention discloses a critical data processing method and device as well as a critical data display method and system. The critical data processing method specifically comprises the following steps: carrying out critical data recognition on data in a complicated event processing process, wherein the data comprises original data and/or data after the complicated event processing; when critical data is recognized, setting a priority of the critical data; and sending the critical data to a client according to the priority of the critical data so that the client displays the critical data. According to the critical data processing method disclosed in the invention, the visualization of critical data in the complicated event processing can be realized.
Description
Technical field
The present invention relates to field of computer technology, particularly relate to a kind of critical data treating method and apparatus, pass
Key data display packing and system.
Background technology
Event is a concept the most widely, ordinary meaning refers to have noticeable thing to occur.Patrol in programming
In the relation of collecting, event can be with the execution of triggered activity, and it can occur under certain given state, Ke Yi
Produce during movable execution, it is also possible to be because when some condition is satisfied producing.Complex event processing skill
Art is to use the paradigmatic relation between Model Comparison, the mutual relation of event, event, has found out from event cloud
The event of meaning, triggers operational action by this significant event；Complete Complex event processing flow process is such as
Shown in Fig. 1.
Complex event processing based on data stream, Real-time Data Visualization is one of them important component part and pass
Key link, visualizes based on configurable complicated event critical data, it is possible at the complicated event to data stream
The data display of reason provides motility and adaptability.But, prior art does not realize at complicated event
The visual mode of critical data in reason；Therefore, how to realize critical data in Complex event processing can
Technical problem depending on changing is badly in need of solving.
Summary of the invention
The main technical problem to be solved in the present invention is to provide a kind of critical data treating method and apparatus, pass
Key data display packing and system, it is possible to solve how to realize the visualization of critical data in Complex event processing
Technical problem.
For solving above-mentioned technical problem, the present invention provides a kind of critical data processing method, comprises the steps:
Data during Complex event processing carry out critical data identification, and described data include: original number
According to and/or Complex event processing after data；
When identification has critical data, the priority of described critical data is set；
Described critical data is sent to client by the priority according to described critical data, for described client
End shows described critical data.
Further, the described step that data carry out critical data identification includes:
Obtain critical data model mark and critical data weight mark；
According to critical data model mark and critical data weight mark, data are carried out critical data identification.
Further, described data during Complex event processing are carried out critical data identification before,
Described method also includes:
At the initial phase of Complex event processing, load critical data model configuration file and critical data power
Reconfigure file；
The step of described acquisition critical data model mark and critical data weight mark includes:
Carry out described critical data model configuration file resolving and obtain critical data model mark, to described pass
Key data weight file carries out resolving acquisition critical data weight mark.
Further, the step of the described priority arranging described critical data includes:
Determine the type of described critical data, obtain the frequency that certain type of critical data occurs, described frequency
Rate includes: ongoing frequency and historical frequency；
Priority according to critical data described in described frequency configuration.
Further, the step of the frequency that the certain type of critical data of described acquisition occurs includes:
Obtain the historical frequency that certain type of critical data occurs；
Calculate what certain type of critical data occurred according to critical data model mark and described historical frequency
Ongoing frequency.
Further, the described step according to the priority of critical data described in described frequency configuration includes:
According to the critical data weight that described frequency is corresponding with described certain type of critical data, described pass is set
The priority of key data.
Further, after loading critical data model configuration file and critical data weight configuration file,
Before priority according to critical data described in described frequency configuration, described method also includes: calculate each class
The critical data weight that the critical data of type is corresponding.
Further, the step of the critical data weight that the critical data of each type of described calculating is corresponding includes:
Respectively initial key data weighting corresponding for the critical data of each type is accounted for the ratio of total weight as
The critical data weight that the critical data of each type is corresponding, described total weight is all types of critical data
Corresponding initial key data weighting sum.
Further, the described critical data corresponding with described certain type of critical data according to described frequency
The step of the priority that weight arranges described critical data includes:
Obtain the meansigma methods of described frequency and described critical data weight product；
The priority of described critical data is set according to described meansigma methods.
It is similarly the technical problem that solution is above-mentioned, present invention also offers a kind of critical data display packing,
Comprise the steps:
In utilization, the critical data processing method described in any one sends critical data to client；
Described client determines the critical data rank that described critical data is corresponding；
According to the critical data rank determined, described critical data is carried out visualize data to show.
Being similarly the technical problem that solution is above-mentioned, the present invention also provides for another kind of critical data processing means,
Including: identification module, module and sending module are set；
Described identification module, for carrying out critical data identification, institute to the data during Complex event processing
State data to include: the data after initial data and/or Complex event processing；
Described module is set, for when described identification module identification has critical data, described pass bond number is set
According to priority；
Described sending module, sends described critical data to visitor for the priority according to described critical data
Family end, shows described critical data for described client.
Further, described device also includes: load-on module, and described identification module includes: parsing module and
Critical data identification module
Described load-on module, for the initial phase at Complex event processing, loads critical data model and joins
Put file and critical data weight configuration file；
Described parsing module, obtains critical data for carrying out described critical data model configuration file resolving
Model mark, carries out described critical data weight file resolving acquisition critical data weight mark；
Described critical data identification module, for according to critical data model mark and critical data weight mark
Data are carried out critical data identification.
Further, the described module that arranges includes: frequency acquisition module and priority arrange module；
Described frequency acquisition module, for determining the type of described critical data, obtains certain type of key
The frequency that data occur, described frequency includes: ongoing frequency and historical frequency；
Described priority arranges module, for corresponding with described certain type of critical data according to described frequency
Critical data weight the priority of described critical data is set.
Further, described priority arranges module, is used for:
Obtain the meansigma methods of described frequency and described critical data weight product；
The priority of described critical data is set according to described meansigma methods.
It is similarly the technical problem that solution is above-mentioned, present invention also offers a kind of critical data display system,
Including: the critical data processing means described in client and as above any one；
Described client, is used for:
Receive the critical data that described critical data display device sends；
Determine the critical data rank that described critical data is corresponding, according to the critical data rank determined to described
Critical data carries out visualizing data and shows.
The invention has the beneficial effects as follows:
The invention provides a kind of critical data treating method and apparatus, critical data display packing and system, its
In, the critical data processing method of the present invention specifically includes following steps: during Complex event processing
Data carry out critical data identification, and described data include: the data after initial data and/or Complex event processing；
When identification has critical data, the priority of described critical data is set；Preferential according to described critical data
Described critical data is sent to client by level, shows described critical data for described client；The present invention's
Processing method can identify the critical data during Complex event processing, and according to the critical data arranged
Priority critical data be sent to client show；Visible, the critical data of the application present invention processes
Method can realize the visualization of critical data in Complex event processing, and can be by critical data priority
Arrange and important critical data is sent to client in advance shows.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of Complex event processing；
The schematic flow sheet of a kind of critical data processing method that Fig. 2 provides for the embodiment of the present invention one；
The schematic flow sheet of the another kind of critical data processing method that Fig. 3 provides for the embodiment of the present invention one；
The schematic flow sheet of a kind of data-pushing that Fig. 4 provides for the embodiment of the present invention one；
The structural representation of a kind of critical data display packing that Fig. 5 provides for the embodiment of the present invention two；
The structural representation of the first critical data processing means that Fig. 6 provides for the embodiment of the present invention three；
The structural representation of the second critical data processing means that Fig. 7 provides for the embodiment of the present invention three；
The structural representation of the third critical data processing means that Fig. 8 provides for the embodiment of the present invention three；
The structural representation of a kind of critical data display system that Fig. 9 provides for the embodiment of the present invention three.
Detailed description of the invention
Combine accompanying drawing below by detailed description of the invention the present invention is described in further detail.
Embodiment one:
In view of currently without realizing the visual scheme of critical data, the present embodiment in Complex event processing
Provide a kind of critical data processing method, as in figure 2 it is shown, comprise the steps:
Step 201: the data during Complex event processing are carried out critical data identification, described data include:
Data after initial data and/or Complex event processing.
The critical data processing method of the present embodiment can be applied in 10 positions as shown in Figure 1, the 10 of Fig. 1
Position is a merger computing function in systems, and this is partially received the various numbers of Complex event processing system
According to, packet contains: the result data after initial data and/or Complex event processing.
Specifically, the present embodiment data carry out critical data is known can be to utilize critical data mould otherwise
Type mark and critical data weight mark are identified, and therefore, in this step, data are carried out critical data knowledge
Other process may include that
Obtain critical data model mark and critical data weight mark；
According to critical data model mark and critical data weight mark, data are carried out critical data identification.
The process obtaining critical data model mark and critical data weight mark in the present embodiment may include that
Carry out critical data model configuration file resolving and obtain critical data model mark, to critical data weight literary composition
Part carries out resolving acquisition critical data weight mark；And critical data model configuration file and weight file are permissible
Initial phase at Complex event processing loads.
Such as when Complex event processing system initialization, to critical data model configuration file, critical data
Weight file loads, and then enters critical data model configuration file and critical data weight file respectively
Row resolves and obtains critical data model mark and critical data weight mark, is then put into by acquisition flag information
In internal memory, for follow-up, data are identified.In the present embodiment, the process to document analysis can be initially
The change stage is carried out, it is also possible to carrying out when needs carry out critical data identification, the sequential of resolving is unrestricted
System.
Specifically, the present embodiment can pass through algorithmic formula after loading critical data model configuration file
(1) parse critical data model mark, algorithmic formula can be passed through after loading critical data weight file
(2) critical data weight mark is parsed:
MS=LOADM (PMs) (1)
Wherein, MS is that model indicates, and PMs is critical data model configuration file；
WS=LOADP (PWs) (2)
Wherein, WS is weight mark, and PWs is critical data weight configuration file.
The present embodiment can carry out critical data identification by MS and WS to data, specifically, can pass through algorithm
Formula (3) carries out critical data identification:
Wherein, the data that DATA is identified (can be the number after initial data or Complex event processing
According to), MS is critical data model mark, and WS is critical data weight mark.
Step 202: when identification has critical data, arranges the priority of described critical data.
When identified data are critical data, it is contemplated that the importance of different critical datas or attribute or
Person's user's request etc. differs, and therefore, the present embodiment method also needs to arrange the priority of critical data, this
Sample the critical data of priority high (importance is high) can first be sent to client when sending and shows, excellent
The critical data that first display priority is high.
Preferentially, the present embodiment can arrange excellent based on the frequency that critical data type and critical data occur
First level, so, the process of the priority arranging described critical data in this step may include that
Determine the type of described critical data, obtain the frequency that certain type of critical data occurs, described frequency
Rate includes: ongoing frequency and historical frequency；
Priority according to critical data described in described frequency configuration.
The process obtaining the frequency that certain type of critical data occurs in the present embodiment may include that
Obtain the historical frequency that certain type of critical data occurs；
Calculate what certain type of critical data occurred according to critical data model mark and described historical frequency
Ongoing frequency.
In the present embodiment, historical frequency is the frequency calculating before current time or obtaining.
Such as, if the current data in data stream is critical data, and critical data source is in internal memory, then
The frequency+1 that the critical data of the type identified occurs, i.e. in the historical frequency of critical data of the type
On the basis of add 1, otherwise the type critical data occur frequency constant, the present embodiment can pass through frequency
Formula (4) calculate critical data occur frequency:
Wherein, DATA is identified data, and KS is critical data, and MS is critical data model mark.
After obtaining the frequency that the critical data identified occurs, the present embodiment method can be based on this frequency
The priority of this critical data is set, specifically, can be according to described frequency and described certain type of pass
Critical data weight corresponding to key data arranges the priority of described critical data.
In the present embodiment the critical data of visualization display is carried out priority setting, in real time, preferentially show
The data that priority is high, the present embodiment can be made even by the product of frequency that critical data occur with weight
All, then arranging priority according to meansigma methods, meansigma methods the most then priority is high, and the present embodiment can be by public affairs
Formula (5) calculating meansigma methods:
Wherein, PreaIt is the critical data frequency of a type, Prea1It it is the critical data appearance of a type
Frequency initial value, PSa is the weighted value that the critical data of a type is corresponding.
Pra value is big, then critical data priority is the highest, and data are the most crucial, needs preferential propelling movement and display.
Preferentially, the present embodiment method can go out the pass of each type before arranging priority with calculated in advance
The critical data weight that key data is corresponding, for carrying out frequency calculating arranging the priority stage；Specifically,
After loading critical data model configuration file and critical data weight configuration file, set according to described frequency
Before putting the priority of described critical data, the present embodiment method also includes: calculate the pass bond number of each type
According to corresponding critical data weight.
Such as, at the initial phase of Complex event processing, load critical data model configuration file and key
After data weighting configuration file, the critical data weight that the critical data of each type is corresponding can be calculated,
Then carry out storing (such as leaving in internal memory).
The mode specifically calculating critical data weight is: respectively by the beginning of corresponding for the critical data of each type
Beginning critical data weight accounts for the ratio of total weight and weighs as the critical data that the critical data of each type is corresponding
Weight, described total weight is the initial key data weighting sum that all types of critical data is corresponding.With a class
As a example by the critical data of type, the weight that formula (6) calculates the critical data of a type can be passed through:
Wherein:
PSaIt is the weighted value of the critical data of a type, IPraIt it is the initial weight of a type critical data
Value, IPriIt it is the weighted value of every class critical data.
Step 203: described critical data sent to client according to the priority of described critical data, for
Described client shows described critical data.
In data transmission phase, timing can be used to send critical data, during to transmission time point arrival, if
With the presence of critical data, then send critical data according to the priority of each critical data and show to client
Show.
The processing method of the present embodiment can identify the critical data during Complex event processing, and according to
Critical data is sent to client and shows by the priority of the critical data arranged；Visible, apply this enforcement
The critical data processing method of example can realize the visualization of critical data in Complex event processing, effectively and
Time critical data is identified and visual presentation, and can be by the arranging important of critical data priority
Critical data be sent to client in advance and show.
According to the above-mentioned description to critical data processing method, as it is shown on figure 3, the critical data of the present embodiment
Processing method can particularly as follows:
Step 301: load critical data model configuration file when Complex event processing system initialization；
Step 302: judge whether to load successfully, the most then perform step 303, if otherwise performing step 310.
Step 303: load critical data weight file, and judge whether to load successfully, the most then perform step
Rapid 304, if it is not, then perform step 310.
System starts, and after having powered on, enters system initialization state, in init state to various resources
Load, including: critical data model configuration file and weight file.The present embodiment can also will close
Key data model configuration file is associated with weight file by complicated event ID with weight file, namely
By data (data after such as initial data or Complex event processing) to be identified and weight configuration file
Correspondence is carried out by complicated event ID.
Step 304: storage critical data model configuration file and weight file, joins critical data model respectively
Put file and weight file carries out resolving acquisition critical data model mark and weight mark, and storage mark letter
Breath, calculates the critical data weight that the critical data of each type is corresponding, and stores the critical data power of calculating
Weight, then system enters duty.
After loading is complete, model configuration file and weight file are left in internal memory, after being parsed,
Identification information is left in internal memory；In the case of utilizing complicated event ID association, in addition it is also necessary to association is closed
System's storage, specifically, is put in internal memory by critical data model configuration file and weight file with tabular form,
The configuration of complicated event ID, weight is put in the variable of MAP type, and incidence relation is stored in internal memory.
The present embodiment method can be passed through formula (1) (2) and parse critical data model and weight mark, logical
Cross formula (6) and calculate the critical data weight that the critical data of each type is corresponding.
Step 305: after visualization event planning, according to critical data model mark and critical data weight
Mark carries out critical data identification to data during Complex event processing.
Specifically identify that process is referred to foregoing description, such as uses formula (3) to be identified.
Step 306: if identifying there is critical data, then store described critical data, and calculate this critical data and go out
Existing frequency.
Specifically, critical data is put into redis data base go forward side by side line flag.
Step 307: determine the type of described critical data, the frequency occurred according to certain type of critical data
The critical data weight corresponding with certain type of critical data arranges the priority of described critical data.
Specifically, first obtain certain type of critical data occur frequency, this frequency include ongoing frequency and
Historical frequency, wherein the calculation of ongoing frequency refers to formula (4)；Then described frequency and institute are obtained
State the meansigma methods of critical data weight product, calculation reference formula (5)；Finally, according to described averagely
Value arranges the priority of described critical data.
Such as identify critical data be a type after, obtain a type critical data occur frequency (when
Front frequency and historical frequency) weight corresponding with the critical data of a type；Then frequency and weight will be taken
The meansigma methods of product, arranges the priority of this critical data finally according to meansigma methods.The biggest priority of meansigma methods
The highest.
Step 308: judge whether the time point that data send reaches, the most then perform step 309, if it is not,
Then return step 305.
The present embodiment use timing send critical data, send time point not timed out, continue identify data and
Priority is set, when sending time point and arriving, then carries out the transmission of critical data.
Step 309: whether poll check has stored critical data, if having, performs step 310.
Step 310: send critical data according to the priority of the critical data of storage and show to client.
Step 311: write daily record.
The processing method of the present embodiment is introduced below in conjunction with the Complex event processing flow process shown in Fig. 1:
When system initialization, need to load critical data model configuration file and weight file, then distinguish
Resolve critical data model configuration file and weight file acquisition critical data model mark and weight mark, and
It is stored in internal memory and prepares for data identification；Concrete resolving is with reference to above-mentioned formula (1) (2).It addition,
Also needing to calculate the weight that the critical data of each type is corresponding, the process that specifically calculates is referred to above-mentioned
Formula (6), i.e. by inverted after all types of weights are sued for peace, the then power to every class critical data
Heavily quadrature, calculates the weighted value that every class critical data is corresponding, by the weighted value of the critical data of each type
It is stored in internal memory, arranges for priority and prepare.
1-6 Yu 8-9 link in Fig. 1, belongs to the data of complicated event duty, event handler procedure,
Data, by the process of 1-6 Yu the 8-9 link in Fig. 1, enter 7 and 10 links, and data (include original
Data after data and/or Complex event processing) carry out with the key model mark in internal memory and weight mark
In conjunction with, carrying out critical data identification, recognition method can be carried out with weight mark, model mark by data
Coupling, if the match is successful, then indicating the data being matched is critical data, and the critical data of coupling is put
Entering redis data base to go forward side by side line flag, recognizer is shown in formula (3).
The frequency that data occur is the highest, and if being critical data, generally these data have phase simultaneously
To higher emergency, data, by the process of 1-6 Yu the 8-9 link in Fig. 1, enter 7 and 10 links,
Carrying out critical data frequency calculate and identify, recognition method can be by data and critical data, model mark
Mating, if the match is successful, then the critical data self-propagation 1 of the type, puts into redis frequency data
Data base goes forward side by side line flag, during frequency calculates, locks same type of critical data, enters
The operation of row synchronous versus asynchronous controls, and computational algorithm is shown in formula (4).
In critical data, emergency data needs preferential display, owing to the data in data complicated event are to continue
Data stream, the data after being processed by system are also in constantly variation, and data emergency is also constantly changing,
It is thus desirable to judge the priority of the emergency data being continually changing, by formula (4), we exist
Persistently calculate the frequency of critical data, and result of calculation Pre is put in redis data base, meanwhile,
During system initialization, we pass through formula (2), have obtained weight mark WS and have put WS in internal memory, having passed through
Constantly being averaged every frequency of class critical data with the product of weight, obtain that critical data is continually changing is excellent
First level.
After the priority of critical data is calculated, system arrives according to critical data priority timing propelling data
Client, carries out visualizing data and shows, by clicking on alarm point, ejects warning information and reviews interface, right
The data of this warning information carry out reduction display.
Critical data pushes process, as shown in Figure 4, comprises the steps:
Step 401: during system start-up, opens a critical data and pushes thread；
Step 402: thread automatic regular polling detection memory block (such as critical data memory field and redis data base)
Whether there is critical data, if then performing step 403, if it is not, continue detection；
Step 403: critical data is installed priority and is ranked up, the most regularly to critical data according to preferentially
Level pushes to client from high to low；
Step 404: the priority of the critical data after pushing is carried out set.
Embodiment two:
As it is shown in figure 5, present embodiments provide a kind of critical data display packing, comprise the steps:
Step 501: utilize the critical data processing method described in embodiment one to send critical data to client.
Step 502: described client determines the critical data rank that described critical data is corresponding.
Specifically, corresponding rank can be determined according to key data values, such as according to meansigma methods
In the case of critical data priority is set, can (such as embodiment be a kind of with meansigma methods corresponding to critical data
Pra) determine corresponding rank.
Step 503: according to the critical data rank determined, described critical data is carried out visualizing data and show.
After the rank determining critical data, different display modes can be used according to different ranks
Display critical data, such as different stage correspondence difference Show Color, or corresponding display window shape etc..
Preferentially, critical data can also be recalled by the present embodiment method, follows the trail of the formation of critical data
Process mode of graphically changing are shown.
Such as in the case of process end arranges priority according to meansigma methods (Pra), the exhibition method of the present embodiment can
Thinking: with the time as X-axis, Pra is Y-axis, shows, by line chart mode, the complete procedure that Pra calculates, also
It it is exactly the forming process of graphical representation Pra.
Embodiment three:
As shown in Figure 6, present embodiments provide a kind of critical data processing means, including: identification module,
Module and sending module are set；
Described identification module, for carrying out critical data identification, institute to the data during Complex event processing
State data to include: the data after initial data and/or Complex event processing；
Described module is set, for when described identification module identification has critical data, described pass bond number is set
According to priority；
Described sending module, sends described critical data to visitor for the priority according to described critical data
Family end, shows described critical data for described client.
Preferentially, as it is shown in fig. 7, the present embodiment device also includes: load-on module, wherein said identification mould
Block includes: parsing module and critical data identification module；
Described load-on module, for the initial phase at Complex event processing, loads critical data model and joins
Put file and critical data weight configuration file；
Described parsing module, obtains critical data for carrying out described critical data model configuration file resolving
Model mark, carries out described critical data weight file resolving acquisition critical data weight mark；
Described critical data identification module, for according to critical data model mark and critical data weight mark
Data are carried out critical data identification.
Preferentially, as shown in Figure 8, arrange module described in the present embodiment device to include: frequency acquisition module
Module is set with priority；
Described frequency acquisition module, for determining the type of described critical data, obtains certain type of key
The frequency that data occur, described frequency includes: ongoing frequency and historical frequency；
Described priority arranges module, for corresponding with described certain type of critical data according to described frequency
Critical data weight the priority of described critical data is set.
Preferentially, described priority arranges module, is used for:
Obtain the meansigma methods of described frequency and described critical data weight product；
The priority of described critical data is set according to described meansigma methods.
The critical data processing means that the present embodiment provides can realize the data visualization to Complex event processing
Display.
As it is shown in figure 9, the present embodiment additionally provides a kind of critical data display system, including client and such as
The arbitrary described critical data processing means of Fig. 6-8；
Described client, is used for:
Receive the critical data that described critical data display device sends；
Determine the critical data rank that described critical data is corresponding, according to the critical data rank determined to described
Critical data carries out visualizing data and shows.
Above content is to combine specific embodiment further description made for the present invention, it is impossible to recognize
Determine the present invention be embodied as be confined to these explanations.Ordinary skill for the technical field of the invention
For personnel, without departing from the inventive concept of the premise, it is also possible to make some simple deduction or replace,
All should be considered as belonging to protection scope of the present invention.
Claims (15)
1. a critical data processing method, it is characterised in that comprise the steps:
Data during Complex event processing carry out critical data identification, and described data include: original number
According to and/or Complex event processing after data；
When identification has critical data, the priority of described critical data is set；
Described critical data is sent to client by the priority according to described critical data, for described client
End shows described critical data.
2. the method for claim 1, it is characterised in that described data are carried out critical data
The step identified includes:
Obtain critical data model mark and critical data weight mark；
According to critical data model mark and critical data weight mark, data are carried out critical data identification.
3. method as claimed in claim 2, it is characterised in that described to Complex event processing mistake
Before data in journey carry out critical data identification, described method also includes:
At the initial phase of Complex event processing, load critical data model configuration file and critical data power
Reconfigure file；
The step of described acquisition critical data model mark and critical data weight mark includes:
Carry out described critical data model configuration file resolving and obtain critical data model mark, to described pass
Key data weight file carries out resolving acquisition critical data weight mark.
4. method as claimed in claim 3, it is characterised in that described described critical data is set
The step of priority includes:
Determine the type of described critical data, obtain the frequency that certain type of critical data occurs, described frequency
Rate includes: ongoing frequency and historical frequency；
Priority according to critical data described in described frequency configuration.
5. method as claimed in claim 4, it is characterised in that the certain type of key of described acquisition
The step of the frequency that data occur includes:
Obtain the historical frequency that certain type of critical data occurs；
Calculate what certain type of critical data occurred according to critical data model mark and described historical frequency
Ongoing frequency.
6. method as claimed in claim 4, it is characterised in that described according to described frequency configuration institute
The step of the priority stating critical data includes:
According to the critical data weight that described frequency is corresponding with described certain type of critical data, described pass is set
The priority of key data.
7. method as claimed in claim 6, it is characterised in that loading the configuration of critical data model
After file and critical data weight configuration file, according to the priority of critical data described in described frequency configuration
Before, described method also includes: calculate the critical data weight that the critical data of each type is corresponding.
8. method as claimed in claim 7, it is characterised in that the key of each type of described calculating
The step of the critical data weight that data are corresponding includes:
Respectively initial key data weighting corresponding for the critical data of each type is accounted for the ratio of total weight as
The critical data weight that the critical data of each type is corresponding, described total weight is all types of critical data
Corresponding initial key data weighting sum.
9. the method as described in any one of claim 6-8, it is characterised in that described according to described frequency
The rate critical data weight corresponding with described certain type of critical data arranges the priority of described critical data
Step include:
Obtain the meansigma methods of described frequency and described critical data weight product；
The priority of described critical data is set according to described meansigma methods.
10. a critical data display packing, it is characterised in that comprise the steps:
The critical data processing method as described in any one of claim 1-9 is utilized to send critical data to client
End；
Described client determines the critical data rank that described critical data is corresponding；
According to the critical data rank determined, described critical data is carried out visualize data to show.
11. 1 kinds of critical data processing meanss, it is characterised in that including: identification module, module is set
And sending module；
Described identification module, for carrying out critical data identification, institute to the data during Complex event processing
State data to include: the data after initial data and/or Complex event processing；
Described module is set, for when described identification module identification has critical data, described pass bond number is set
According to priority；
Described sending module, sends described critical data to visitor for the priority according to described critical data
Family end, shows described critical data for described client.
12. devices as claimed in claim 11, it is characterised in that also include: load-on module, described
Identification module includes: parsing module and critical data identification module；
Described load-on module, for the initial phase at Complex event processing, loads critical data model and joins
Put file and critical data weight configuration file；
Described parsing module, obtains critical data for carrying out described critical data model configuration file resolving
Model mark, carries out described critical data weight file resolving acquisition critical data weight mark；
Described critical data identification module, for according to critical data model mark and critical data weight mark
Data are carried out critical data identification.
13. devices as claimed in claim 10, it is characterised in that the described module that arranges includes: frequency
Acquisition module and priority arrange module；
Described frequency acquisition module, for determining the type of described critical data, obtains certain type of key
The frequency that data occur, described frequency includes: ongoing frequency and historical frequency；
Described priority arranges module, for corresponding with described certain type of critical data according to described frequency
Critical data weight the priority of described critical data is set.
14. devices as claimed in claim 11, it is characterised in that described priority arranges module, use
In:
Obtain the meansigma methods of described frequency and described critical data weight product；
The priority of described critical data is set according to described meansigma methods.
15. 1 kinds of critical data display systems, it is characterised in that including: client and such as claim
Critical data display device described in any one of 11-14；
Described client, is used for:
Receive the critical data that described critical data display device sends；
Determine the critical data rank that described critical data is corresponding, according to the critical data rank determined to described
Critical data carries out visualizing data and shows.
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| CN201510075499.7A CN105989090A (en) | 2015-02-12 | 2015-02-12 | Critical data processing method and device as well as critical data display method and system |
| PCT/CN2015/084840 WO2016127585A1 (en) | 2015-02-12 | 2015-07-22 | Critical data processing method and device, and critical data display method and system |
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| CN115208903A (en) * | 2022-06-02 | 2022-10-18 | 广州番禺电缆集团有限公司 | Intelligent cable based on distributed service |
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| US8200682B2 (en) * | 2008-04-22 | 2012-06-12 | Uc4 Software Gmbh | Method of detecting a reference sequence of events in a sample sequence of events |
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| CN102646057B (en) * | 2012-03-08 | 2013-12-18 | 中国科学院自动化研究所 | Compound event responding method and system facing to real-time sensing environment |
| US9122786B2 (en) * | 2012-09-14 | 2015-09-01 | Software Ag | Systems and/or methods for statistical online analysis of large and potentially heterogeneous data sets |
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| CN102546771A (en) * | 2011-12-27 | 2012-07-04 | 西安博构电子信息科技有限公司 | Cloud mining network public opinion monitoring system based on characteristic model |
| CN104123307A (en) * | 2013-04-29 | 2014-10-29 | 鸿富锦精密工业（深圳）有限公司 | Data loading method and system |
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