CN108960584A - Workflow task classification method, device, readable storage medium storing program for executing and electronic equipment - Google Patents
Workflow task classification method, device, readable storage medium storing program for executing and electronic equipment Download PDFInfo
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Abstract
This disclosure relates to which a kind of workflow task classification method, device, readable storage medium storing program for executing and electronic equipment, belong to computer field, the flexibility and performance of working flow products framework can be improved, and be convenient for the later maintenance and upgrading of working flow products.This method comprises: the fact that receive workflow task is gathered；The true set is matched with default classifying rules；Based on the default classifying rules being matched to, the classification of the workflow task is determined.
Description
Technical field
This disclosure relates to computer field, and in particular, to a kind of workflow task classification method, device, readable storage
Medium and electronic equipment.
Background technique
Workflow task classification is an important object in working flow products, is mainly used to processing and circulates in operation flow
The middle work for needing manually to participate in.As workflow is in the application of different industries, different business scene, the classification of workflow task
Processing also becomes to become increasingly complex.Because workflow task not only includes turning the bases such as to do, do jointly, retract, conutersigning, having done
This business function further includes retracting done, turned to do and done, the charg`e d'affaires that retracts, turned to do the combination of the basic services functions such as countersign, institute
The complexity that workflow engine processing workflow task classification is considerably increased with numerous and complicated workflow task, causes work
The performance for flowing engine is lower and lower.
Existing workflow task classification processing logic is relatively simple, without too complicated function, is difficult to meet multiple
The regulatory requirement of miscellaneous operation flow.Moreover, the realization code of existing workflow task classification processing process generallys use hard volume
The mode of code, more and more numerous and complicated workflow task make code logic become increasingly complex, and code is increasingly difficult to safeguard,
One slight function of addition or modification just needs to modify many places, so that workflow task classification processing module is more and more huger
Greatly, the flexibility and performance for both having affected working flow products framework are also not easy to the later maintenance and upgrading of working flow products.
Summary of the invention
Purpose of this disclosure is to provide a kind of workflow task classification method, device, readable storage medium storing program for executing and electronic equipment,
Its flexibility that can be improved working flow products framework and performance, and it is convenient for the later maintenance and upgrading of working flow products.
According to the disclosure in a first aspect, a kind of workflow task classification method is provided, this method comprises: receiving workflow
The fact that task, gathers；The true set is matched with default classifying rules；Based on the default classifying rules being matched to,
Determine the classification of the workflow task.
Optionally, described to match the true set with default classifying rules, comprising: will be in the true set
The fact merged one by one；Fused true set is matched with the default classifying rules.
Optionally, the fact by the true set merges one by one, comprising: according to target fact type and
The target fact type it is corresponding can incoming event, the fact in the true set is matched one by one；It will match to
The fact merged one by one.
Optionally, described true including first content and the second content, it is right that the first content is used to indicate the fact
The fact that answer type, second content are used to indicate the corresponding event of the fact；It is described according to target fact type and institute
State target fact type it is corresponding can incoming event, the fact in the true set is matched one by one, comprising: according to institute
Target fact type is stated, the true first content in the true set is matched；Obtaining its first content and institute
When stating the fact that target fact type matches, according to the target fact type it is corresponding can incoming event, to it is described its
Second content of the fact that one content matches with the target fact type is matched.
Optionally, this method further include: based on the classification of the identified workflow task, to the workflow task
It is filtered.
According to the second aspect of the disclosure, a kind of workflow task sorter is provided, which includes: receiving module,
The fact that for receiving workflow task set；Matching module, for gathering and the progress of default classifying rules the fact
Match；Categorization module, for determining the classification of the workflow task based on the default classifying rules being matched to.
Optionally, the matching module includes: fusion submodule, for carrying out the fact in the true set one by one
Fusion；Matched sub-block, for matching fused true set with the default classifying rules.
Optionally, the fusion submodule includes: coupling subelement, for according to target fact type and the target thing
Real type it is corresponding can incoming event, the fact in the true set is matched one by one；Subelement is merged, for general
The fact that be fitted on is merged one by one.
Optionally, described true including first content and the second content, it is right that the first content is used to indicate the fact
The fact that answer type, second content are used to indicate the corresponding event of the fact；The coupling subelement is used for: according to institute
Target fact type is stated, the true first content in the true set is matched；Obtaining its first content and institute
When stating the fact that target fact type matches, according to the target fact type it is corresponding can incoming event, to it is described its
Second content of the fact that one content matches with the target fact type is matched.
Optionally, the device further include: filtering module, it is right for the classification based on the identified workflow task
The workflow task is filtered.
According to the third aspect of the disclosure, a kind of computer readable storage medium is provided, computer program is stored thereon with,
The step of realizing when the program is executed by processor according to disclosure first aspect the method.
According to the fourth aspect of the disclosure, a kind of electronic equipment is provided, comprising: memory is stored thereon with computer journey
Sequence；Processor, for executing the computer program in the memory, to realize the side according to disclosure first aspect
The step of method.
By using above-mentioned technical proposal, gathered and default classification due to the fact that the workflow task that can will be received
Rule match and determine based on the default classifying rules being matched to the classification of workflow task, so in workflow task
In assorting process, true type corresponding to the fact or can incoming event have modification, increase, deletion etc. in the case wheres, it is only necessary to
To have corresponding to the fact that change type or true type can the corresponding classifying rules of incoming event modify, increase,
It deletes etc., will not influence the classifying rules of other true types, also do not need as the prior art by using largely repairing
Change code, the mode for the complexity for increasing code logic is modified, is increased, deletes, and then can be improved work and miscarry
The flexibility and performance of product framework, convenient for the later maintenance and upgrading of working flow products.Moreover, the operation such as modification, increase, deletion
It can not only be executed, can also be executed by the user of working flow products by working flow products producer.
Other feature and advantage of the disclosure will the following detailed description will be given in the detailed implementation section.
Detailed description of the invention
Attached drawing is and to constitute part of specification for providing further understanding of the disclosure, with following tool
Body embodiment is used to explain the disclosure together, but does not constitute the limitation to the disclosure.In the accompanying drawings:
Fig. 1 is the schematic diagram of subnetwork in workflow task sorter network.
Fig. 2 is the another schematic diagram of subnetwork in workflow task sorter network.
Fig. 3 is the flow chart according to a kind of workflow task classification method of embodiment of the disclosure.
Fig. 4 is the another flow chart according to a kind of workflow task classification method of embodiment of the disclosure.
Fig. 5 be according to target fact type and target fact type it is corresponding can incoming event, to the thing in true set
The real flow chart for carrying out a kind of matched sample implementation one by one.
Fig. 6 is the another flow chart according to a kind of workflow task classification method of embodiment of the disclosure.
Fig. 7 is the schematic block diagram according to a kind of workflow task sorter of embodiment of the disclosure.
Fig. 8 is the schematic block diagram of the matching module in the workflow task sorter according to a kind of embodiment of the disclosure.
Fig. 9 is the another schematic block diagram according to a kind of workflow task sorter of embodiment of the disclosure.
Figure 10 is the schematic block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Specific embodiment
It is described in detail below in conjunction with specific embodiment of the attached drawing to the disclosure.It should be understood that this place is retouched
The specific embodiment stated is only used for describing and explaining the disclosure, is not limited to the disclosure.
Before executing the workflow task classification method that the disclosure provides, need to write point for work in every stream task
Rule-like, these classifying rules include matching condition and its corresponding sort operation, to construct work according to above-mentioned classifying rules
Make stream classification of task network.Fig. 1 shows the subnetwork schematic diagram in workflow task sorter network.Appoint in construction work stream
During business sorter network, type node of the subconditional type as the network in each matching condition, the type node
It is corresponded with target fact type.The target fact type of workflow task has N seed type, wherein N is positive integer, and work
The workflow task for making the classification that stream classification of task network needs is more complicated, and N is bigger.For example, target fact type may include
The affiliated business classification of task status, task type, node, transactor's type, node state, node type, node handle mode
Deng.Illustratively, Fig. 1 shows four kinds of target fact types, i.e. " task status ", " task type ", " the affiliated business of node point
Class ", " transactor's type ".
After determining target fact type, determines that every kind of target fact type is corresponding according to workflow task and input
Event.Illustratively, " task status " it is corresponding can incoming event may include completing state, run mode, activated state and discarded state etc.；
" task type " it is corresponding can incoming event may include retract, do jointly, conutersigning, retract it is pending, turn do countersign etc.；" node institute
Category business classification " it is corresponding can incoming event may include A class, B class and C class etc.；" transactor's type " is corresponding to input thing
Part may include personnel and role etc.；" node state " it is corresponding can incoming event may include initial state, run mode, complete state
Deng；" node type " it is corresponding can incoming event may include manual node, automatic node, concurrent node, sub-process node etc.,
Wherein concurrent node refers to the node for needing to be executed by more people, sub-process node refer to the node include multiple child nodes and
And it needs just to show that the node completes when this multiple child node is completed；" node handles mode " is corresponding can incoming event
May include one submit effective, more people submit effectively and according to condition submit.Fig. 1 is exemplarily only shown in which several
Target fact type and its it is corresponding can incoming event.
For example, wherein classifying rules can be with are as follows: in the task status of workflow task be to complete state, task class
When type is rollback, the affiliated business of node is classified as A class, transactor's type is personnel's first, sort operation is " by workflow task point
The rollback that class is the affiliated business A of personnel's first completes state task ".It can indicate are as follows:
If
Task status is to complete state
Task type is to retract
The affiliated business of node is classified as A class
Transactor's type is personnel's first
Then
The rollback that workflow task is classified as the affiliated business A of personnel's first is completed into state task
Determine target fact type and each target fact type is corresponding can be after incoming event, so that it may construct
Workflow task sorter network, such as can be constructed by Rete algorithm or other algorithms.Wherein, target fact type pair
Type node in sorter network constructed by Ying Yu, each target fact type it is corresponding can incoming event correspond to classification net
α node in network, the β node in network are to the node for the fact that be matched to obtain after fusion treatment.If in β node
The one default classifying rules of all true satisfactions being matched to, then the β node can be the end of the default classifying rules of this
Node, the end node have sort operation corresponding thereto.In addition, the β node can also be both wherein one default point
The end node of rule-like, and be the intermediate node in another default classifying rules.
The workflow task sorter network is used to match the fact in true set, thus determining true meet
When default classifying rules, the default corresponding sort operation of classifying rules is executed.
Certainly, according to the workflow task classification method of the embodiment of the present disclosure in addition to can be applied to work shown in FIG. 1
It flows except classification of task network, workflow task sorter network such as shown in Fig. 2 can also be applied to, which is with the fact
For network node.
Fig. 3 shows the flow chart of the workflow task classification method according to a kind of embodiment of the disclosure.As shown in figure 3,
This method can be applied to workflow task sorter network as shown in the figures 1 and 2, and this method may comprise steps of S31 extremely
S33。
In step S31, receive workflow task the fact gather.
Illustratively, it the fact that workflow task may include multiple facts in set, such as may include that " task status is
Four things such as completion state ", " task type is to retract ", " the affiliated business of node is classified as A class ", " transactor's type is personnel's first "
It is real.
In step s 32, the true set is matched with default classifying rules.
Wherein, it is multiple for presetting classifying rules.
For example, it is assumed that there are three default classifying rules.Default classifying rules 1 be " meet task status be complete state, times
Service type is to be classified as retracting by workflow task and complete state task when retracting ".Default classifying rules 2 is " to meet task shape
When state is that complete state, task type be that rollback, the affiliated business of node are classified as A class, by workflow task be classified as belonging to business A
Rollback complete state task ".Default classifying rules 3 be " meet task status be complete state, task type is rollback, node
When affiliated business is classified as A class, transactor's type is personnel's first, workflow task is classified as returning for the affiliated business A of personnel's first
It moves back and completes state task ".It then, include " task status is completion state ", " task type is to retract ", " node institute in fact set
Category business is classified as A class ", in the case where " transactor's type be personnel's first " this four facts, fact set is classified with default
Rule 3 matches.
In step S33, based on the default classifying rules being matched to, the classification of the workflow task is determined.
Example is connected, is default classifying rules 3 in the default classifying rules being matched to, namely " be meeting task status
When at state, task type be rollback, the affiliated business of node is classified as A class, transactor's type is personnel's first, by workflow task point
The rollback that class is the affiliated business A of personnel's first completes state task " when, it is determined that workflow task is classified as " the affiliated industry of personnel's first
The rollback of business A completes state task ".
By using above-mentioned technical proposal, gathered and default classification due to the fact that the workflow task that can will be received
Rule match and determine based on the default classifying rules being matched to the classification of workflow task, so in workflow task
In assorting process, true type corresponding to the fact or can incoming event have modification, increase, deletion etc. in the case wheres, it is only necessary to
To have corresponding to the fact that change type or true type can the corresponding classifying rules of incoming event modify, increase,
It deletes etc., will not influence the classifying rules of other true types, also do not need as the prior art by using largely repairing
Change code, the mode for the complexity for increasing code logic is modified, is increased, deletes, and then can be improved work and miscarry
The flexibility and performance of product framework, convenient for the later maintenance and upgrading of working flow products.Moreover, the operation such as modification, increase, deletion
It can not only be executed, can also be executed by the user of working flow products by working flow products producer.
Fig. 4 shows the flow chart of the workflow task classification method according to the another embodiment of the disclosure.As shown in figure 4,
This method further includes step S32a and S32b in addition to including the steps that in Fig. 3 other than S31 and S33.
In step S32a, the fact in the true set is merged one by one.
It is alternatively possible to first according to target fact type and the target fact type it is corresponding can incoming event come pair
The fact that the fact in the true set is matched one by one, then be will match to is merged one by one.
For example, can be according to the preset matching order of target fact type be directed to, according to target fact type and described
Target fact type it is corresponding can incoming event the fact in the true set is matched one by one.
Wherein, it can be set in construction work stream classification of task network for the preset matching order of target fact type
It sets, can also be configured after building workflow task sorter network, before executing workflow task classification method.With
For workflow task sorter network shown in FIG. 1, can be set target fact type matching order be followed successively by task status,
The affiliated business classification of task type, node, transactor's type.
By successively being matched according to matching order to the fact in true set, can effectively improve matching speed and
Accuracy, and then effectively improve the efficiency of workflow task classification.
Optionally, described true including first content and the second content, it is right that the first content is used to indicate the fact
The fact that answer type, second content are used to indicate the corresponding event of the fact.With " task status be complete state " this
For the fact, wherein the first content of the fact is " task status ", true type corresponding to the fact is used to indicate, in work
Make in stream classification of task network, which corresponds to target fact type；Second content of the fact is " completing state ", is used
In indicating the corresponding event of the fact, in workflow task sorter network, which corresponds to the target fact type
It is corresponding can incoming event.
As shown in figure 5, for according to target fact type and the target fact type it is corresponding can incoming event to described
The fact in fact set carries out matched illustrative embodiments one by one comprising following steps S51 and S52.
In step s 51, according to the target fact type, the true first content in the true set is carried out
Matching.
Illustratively, which can carry out according to preset matching order.For example, including " task in true set
State is to complete state ", " task type be rollback ", " the affiliated business of node is classified as A class ", " transactor's type is personnel's first " this
Four facts.According to matching order, target fact type matched first is " task status ", thus to the thing in true set
It is matched in fact, to judge whether there is the fact that first content and " task status " match.
Illustratively, which can also be according to traversal target fact type in true set true first
Hold and carries out matched mode progress.For example, include in true set " task status be to complete state ", " task type is rollback ",
" the affiliated business of node is classified as A class ", " transactor's type is personnel's first " this four facts.Then, target fact class is traversed first
Then type traverses target fact class to judge whether there is the target fact type to match with first content " task status "
Type, to judge whether there is the target fact type to match with first content " task type ", and so on, until true collection
Until all first contents in conjunction match completion.In addition, the matching of first content " task status ", " task type " etc. is suitable
Sequence can be preset, be also possible to random.
In step S52, when the fact obtaining its first content and the target fact type matches, according to described
Target fact type it is corresponding can incoming event, the fact that match to its described first content and the target fact type
Second content is matched.
Example is connected, in step s 51, when being matched to the fact that first content matches with " task status ", by the fact
The second content it is corresponding with " task status " can incoming event matched, so that it is determined that true type corresponding to the fact and
Event.As shown in Figure 1, in the workflow task sorter network, " task status " it is corresponding can incoming event include complete state,
Run mode, activated state and discarded state.By the second content of the fact that be matched in the step S51 i.e. corresponding event of the fact with
" task status " it is corresponding can incoming event matched, may thereby determine that the corresponding event of the fact is " complete state ", from
And the fact that be matched to " task status is completion state ".According to matching order, determine that next target fact type to be matched is
" task type " matches the fact in true set later using " task type " as target fact type.The matching
Process with using " task status " as target fact type, to carry out matched process to the fact in true set identical, herein
It repeats no more.
Illustratively, when including " task status be complete state " in fact set, " task type is rollback ", " handle the mankind
Type is personnel's first " when these three are true, after the fact that be matched to " task status be to complete state ", " task type is rollback ",
According to matching order, needed in next step by the true first content and " the affiliated business of node is classified " this mesh in true set
True type is marked to be matched.And during carrying out matched to the fact in current true set, it is not matched to first
The fact that content matches with " the affiliated business of node is classified ", at this time, it may be necessary to determine next target according to preset matching order
True type, i.e. " transactor's type ", continue to execute above-mentioned matching process later.
In the above-mentioned technical solutions, to true type matching completion corresponding to the fact and then to true corresponding thing
Part is matched, in this way, can be when matching to true corresponding event, just for inputting for the target fact type
Event is matched, to effectively reduce matching range, improves matching speed, Optimization Work stream classification of task method facilitates use
Family uses.
In addition, it is assumed that the fact that be matched to includes " task status is to complete state ", " task type is to retract " the two things
It is real, then the fact in true gather is subjected to fusion one by one and refers to that merging is default to be formed one by one by the fact in true set
The matching condition of classifying rules.
In step S32b, fused true set is matched with the default classifying rules.
By using technical solution shown in Fig. 4, can true type corresponding to the fact or can incoming event have modification,
In the case where increase, deletion etc., it is only necessary to can incoming event pair corresponding to the fact that change type or true type to having
The classifying rules answered is modified, increases, is deleted, and be will not influence the classifying rules of other true types, is not also needed picture
The prior art is modified, is increased, deletes by using the mode of a large amount of modification codes, the complexity for increasing code logic like that
Except etc., and then can be improved the flexibility and performance of working flow products framework, convenient for the later maintenance and upgrading of working flow products.
Fig. 6 shows the flow chart of the workflow task classification method according to the another embodiment of the disclosure.As shown in fig. 6,
This method in addition to including the steps that in Fig. 3 other than S31 to S33, can with the following steps are included:
In step S34, based on the classification of the identified workflow task, the workflow task was carried out
Filter.
By using above-mentioned technical proposal, user can be filtered sorted workflow task, uncommon to obtain it
Hope the workflow task checked.For example, being needed at it after the operation of workflow task classification processing if the user desired that checking
The workflow task about business A of reason, then can be filtered sorted workflow task, thus only show to user
Show the workflow task about business A.
According to the another embodiment of the disclosure, a kind of workflow task sorter is provided, as shown in fig. 7, the device
It may include: receiving module 71, the set of the fact that for receiving workflow task；Matching module 72, for collecting the fact
Conjunction is matched with default classifying rules；Categorization module 73, for determining the work based on the default classifying rules being matched to
The classification of stream task.
Optionally, Fig. 8 shows the matching module 72 in the workflow task sorter according to the embodiment of the present disclosure
Schematic block diagram, as shown in figure 8, matching module 72 may include: fusion submodule 72a, for the thing in gathering the fact
It is real to be merged one by one；Matched sub-block 72b, for gathering and the default classifying rules progress the fused fact
Match.
Optionally, the fusion submodule 72a may include: coupling subelement, for according to target fact type and institute
State target fact type it is corresponding can incoming event, the fact in the true set is matched one by one；Subelement is merged,
The fact that for will match to, is merged one by one.
Optionally, described true including first content and the second content, it is right that the first content is used to indicate the fact
The fact that answer type, second content are used to indicate the corresponding event of the fact；The coupling subelement is used for: according to institute
Target fact type is stated, the true first content in the true set is matched；Obtaining its first content and institute
When stating the fact that target fact type matches, according to the target fact type it is corresponding can incoming event, to it is described its
Second content of the fact that one content matches with the target fact type is matched.
Optionally, Fig. 9 shows the another schematic block diagram of the workflow task sorter according to the embodiment of the present disclosure, such as
Shown in Fig. 9, which can also include: filtering module 74, for the classification based on the identified workflow task, to institute
Workflow task is stated to be filtered.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
Figure 10 is the block diagram of a kind of electronic equipment 700 shown according to an exemplary embodiment.As shown in Figure 10, the electronics
Equipment 700 may include: processor 701, memory 702.The electronic equipment 700 can also include multimedia component 703, defeated
Enter/export one or more of (I/O) interface 704 and communication component 705.
Wherein, processor 701 is used to control the integrated operation of the electronic equipment 700, to complete above-mentioned workflow task
All or part of the steps in classification method.Memory 702 is for storing various types of data to support in the electronic equipment
700 operation, these data for example may include any application or method for operating on the electronic equipment 700
Instruction and the relevant data of application program, such as contact data, the message of transmitting-receiving, picture, audio, video etc..This is deposited
Reservoir 702 can realize by any kind of volatibility or non-volatile memory device or their combination, for example, it is static with
Machine accesses memory (Static Random Access Memory, abbreviation SRAM), electrically erasable programmable read-only memory
(Electrically Erasable Programmable Read-Only Memory, abbreviation EEPROM), erasable programmable
Read-only memory (Erasable Programmable Read-Only Memory, abbreviation EPROM), programmable read only memory
(Programmable Read-Only Memory, abbreviation PROM), and read-only memory (Read-Only Memory, referred to as
ROM), magnetic memory, flash memory, disk or CD.Multimedia component 703 may include screen and audio component.Wherein
Screen for example can be touch screen, and audio component is used for output and/or input audio signal.For example, audio component may include
One microphone, microphone is for receiving external audio signal.The received audio signal can be further stored in storage
Device 702 is sent by communication component 705.Audio component further includes at least one loudspeaker, is used for output audio signal.I/O
Interface 704 provides interface between processor 701 and other interface modules, other above-mentioned interface modules can be keyboard, mouse,
Button etc..These buttons can be virtual push button or entity button.Communication component 705 is for the electronic equipment 700 and other
Wired or wireless communication is carried out between equipment.Wireless communication, such as Wi-Fi, bluetooth, near-field communication (Near Field
Communication, abbreviation NFC), 2G, 3G or 4G or they one or more of combination, therefore corresponding communication
Component 705 may include: Wi-Fi module, bluetooth module, NFC module.
In one exemplary embodiment, electronic equipment 700 can be by one or more application specific integrated circuit
(Application Specific Integrated Circuit, abbreviation ASIC), digital signal processor (Digital
Signal Processor, abbreviation DSP), digital signal processing appts (Digital Signal Processing Device,
Abbreviation DSPD), programmable logic device (Programmable Logic Device, abbreviation PLD), field programmable gate array
(Field Programmable Gate Array, abbreviation FPGA), controller, microcontroller, microprocessor or other electronics member
Part is realized, for executing above-mentioned workflow task classification method.
In a further exemplary embodiment, a kind of computer readable storage medium including program instruction is additionally provided, it should
The step of above-mentioned workflow task classification method is realized when program instruction is executed by processor.For example, this computer-readable is deposited
Storage media can be the above-mentioned memory 702 including program instruction, and above procedure instruction can be by the processor of electronic equipment 700
701 execute to complete above-mentioned workflow task classification method.
The preferred embodiment of the disclosure is described in detail in conjunction with attached drawing above, still, the disclosure is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical solution of the disclosure
Monotropic type, these simple variants belong to the protection scope of the disclosure.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case where shield, it can be combined in any appropriate way.In order to avoid unnecessary repetition, the disclosure to it is various can
No further explanation will be given for the combination of energy.
In addition, any combination can also be carried out between a variety of different embodiments of the disclosure, as long as it is without prejudice to originally
Disclosed thought equally should be considered as disclosure disclosure of that.
Claims (10)
1. a kind of workflow task classification method, which is characterized in that this method comprises:
The fact that receive workflow task is gathered；
The true set is matched with default classifying rules；
Based on the default classifying rules being matched to, the classification of the workflow task is determined.
2. the method according to claim 1, wherein described carry out the true set with default classifying rules
Matching, comprising:
The fact in the true set is merged one by one；
Fused true set is matched with the default classifying rules.
3. according to the method described in claim 2, it is characterized in that, the fact by the true set is melted one by one
It closes, comprising:
According to target fact type and the target fact type it is corresponding can incoming event, by the fact in the true set
It is matched one by one；
The fact that will match to is merged one by one.
4. according to the method described in claim 3, it is characterized in that, it is described it is true include first content and the second content, it is described
First content is used to indicate the true corresponding true type, and second content is used to indicate the corresponding thing of the fact
Part；
It is described according to target fact type and the target fact type it is corresponding can incoming event, will be in the true set
The fact is matched one by one, comprising:
According to the target fact type, the true first content in the true set is matched；
It is corresponding according to the target fact type when the fact obtaining its first content and the target fact type matches
Can incoming event, the second content for the fact that match to its described first content and the target fact type carries out
Match.
5. according to claim 1 to method described in any claim in 4, which is characterized in that this method further include:
Based on the classification of the identified workflow task, the workflow task is filtered.
6. a kind of workflow task sorter, which is characterized in that the device includes:
Receiving module, the set of the fact that for receiving workflow task；
Matching module, for matching the true set with default classifying rules；
Categorization module, for determining the classification of the workflow task based on the default classifying rules being matched to.
7. device according to claim 6, which is characterized in that the matching module includes:
Submodule is merged, for merging the fact in the true set one by one；
Matched sub-block, for matching fused true set with the default classifying rules.
8. device according to claim 6 or 7, which is characterized in that the device further include:
Filtering module is filtered the workflow task for the classification based on the identified workflow task.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The step of any one of claim 1-5 the method is realized when row.
10. a kind of electronic equipment characterized by comprising
Memory is stored thereon with computer program；
Processor, for executing the computer program in the memory, to realize described in any one of claim 1-5
The step of method.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202362827U (en) * | 2011-11-09 | 2012-08-01 | 无锡奥伯尼科技有限公司 | Office process management terminal based on rule engine |
| US20140122378A1 (en) * | 2012-10-29 | 2014-05-01 | Qualcomm Incorporated | Rules engine as a platform for mobile applications |
| CN104463482A (en) * | 2014-12-16 | 2015-03-25 | 用友软件股份有限公司 | Task allocation method and task allocation device |
| CN104956330A (en) * | 2012-11-29 | 2015-09-30 | 格林伊登美国控股有限责任公司 | Workload distribution with resource awareness |
| CN105573737A (en) * | 2014-10-30 | 2016-05-11 | 中国科学院声学研究所 | Method for increasing operating efficiency of rule engines |
| CN105635328A (en) * | 2014-10-31 | 2016-06-01 | 中国科学院声学研究所 | Method for improving rule engine response speed |
| CN106097234A (en) * | 2016-06-14 | 2016-11-09 | 北京交通大学 | Harbour based on electronic contract dissipates break-bulk operation automatic charging method and device |
| CN107133741A (en) * | 2017-05-05 | 2017-09-05 | 东软集团股份有限公司 | Pending tasks processing method, device, readable storage medium storing program for executing and electronic equipment |
-
2018
- 2018-06-13 CN CN201810609703.2A patent/CN108960584A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202362827U (en) * | 2011-11-09 | 2012-08-01 | 无锡奥伯尼科技有限公司 | Office process management terminal based on rule engine |
| US20140122378A1 (en) * | 2012-10-29 | 2014-05-01 | Qualcomm Incorporated | Rules engine as a platform for mobile applications |
| CN104956330A (en) * | 2012-11-29 | 2015-09-30 | 格林伊登美国控股有限责任公司 | Workload distribution with resource awareness |
| CN105573737A (en) * | 2014-10-30 | 2016-05-11 | 中国科学院声学研究所 | Method for increasing operating efficiency of rule engines |
| CN105635328A (en) * | 2014-10-31 | 2016-06-01 | 中国科学院声学研究所 | Method for improving rule engine response speed |
| CN104463482A (en) * | 2014-12-16 | 2015-03-25 | 用友软件股份有限公司 | Task allocation method and task allocation device |
| CN106097234A (en) * | 2016-06-14 | 2016-11-09 | 北京交通大学 | Harbour based on electronic contract dissipates break-bulk operation automatic charging method and device |
| CN107133741A (en) * | 2017-05-05 | 2017-09-05 | 东软集团股份有限公司 | Pending tasks processing method, device, readable storage medium storing program for executing and electronic equipment |
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