CN106469352A - The dispatching method of assignment decisions and system - Google Patents
The dispatching method of assignment decisions and system Download PDFInfo
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Abstract
The invention provides a kind of dispatching method of assignment decisions and system, methods described includes:Local command system is issued and is treated decision task;By described, ICS treats that decision-making Task-decomposing is the Meta task collection including at least two Meta task, and Meta task collection is distributed to local command system and outside decision system;Local command system and/or outside decision system determine, according to predetermined policy, the Meta task each accepted, and feed back to described ICS;After local command system and/or outside decision system complete the Meta task each accepted, the decision-making of feedback Meta task and assessment result are to ICS;ICS, according to the decision-making of the Meta task receiving and assessment result, is calculated OPTIMAL TASK decision-making.The present invention can enough meet the demand of substantial amounts of many task applications, rationally effectively existing information resource and decision system be implement resource integration, and realize the decision-making requirements of the high-quality high-timeliness of contingency tasks under unconventional state.
Description
Technical field
The invention belongs to field of information processing, especially design a kind of dispatching method of assignment decisions and system.
Background technology
In space-based information emergency security system, ICS is in pyramid apical position, is emergency security system
Nerve centre.ICS, as the maximum sector of emergency guarantee Command & Decision System, knows real-time
Information resources, be also the interface door with other task delivery systems, decision system.In commanding and decision-making, because place refers to
Waving the Limited information of system grasp, so being both needed to for task or scheme to report ICS, being given by ICS
Final decision.
In the face of the guidance of many-sided issuing of task and other decision systems, ICS is faced with network simultaneously and leads to
The multinomial difficult problem such as traffic is big, decision-making work is heavy and optimal decision is difficult.In recent years, with space-based information in forest fire field
Application popularization, space-based information emergency guarantee is increasingly important, and the information resources that integrated command need to plan as a whole and accepting of task heal
Plus huge, more improve the difficulty of integrated command decision-making.
Integrated command decision problem core is the how more task of quick response, efficiently distribution with merge each side money
Source and decision-making, and mitigate the communication of publisher and policymaker, processing pressure.According to the number of members participating in assignment decisions, can
So that integrated command decision problem is divided into string type and parallel type two class, mainly adopt string type in actual applications at present, appoint
Business is reported layer by layer by local command system after issuing, and again through the adjustment of command systems at different levels after generation scheme, is then issued to
Task publisher.It is long that this kind of method task accepts the cycle, and operation fails many information resources and decision-making strong point step by step
Ability effectively merges, and increased difficulty to optimal decision.
In the research of parallel mode commanding and decision-making, distributed command decision method Main way has contract net method, auction
The intelligent optimization method such as method, acquaintance's method and Evolve-ment law, colony intelligence method.These researchs mostly are lays particular stress on strengthening one side ability, no
The requirement towards multitask publisher and integrated multi-party face Decision Resource can be met, such as contract net method is applied to multitask and sends out simultaneously
Cloth person, but do not support many policymaker;Intelligence optimization algorithm supports that many policymaker require, but can not be towards multitask publisher, algorithm
Complexity, solves accurately still poor in timeliness.
In sum, existing string type scheduling decision mode can not meet the need of substantial amounts of many task applications
Ask, nor rationally effectively existing information resource and decision system are implement resource integration it is more difficult to realize unconventional state
The decision-making of the high-quality high-timeliness of lower contingency tasks.Therefore, a kind of each side resource high-efficiency integrates application and high-timeliness
The dispatching method of assignment decisions and system are demand indication and development trend.
Content of the invention
It is an object of the invention to provide a kind of dispatching method of assignment decisions and system, can not to solve prior art
Meet the demand of substantial amounts of many task applications nor rationally effectively existing information resource and decision system are carried out
The defect of resource consolidation, realizes the decision-making requirements of the high-quality high-timeliness of contingency tasks under unconventional state.
The technical scheme that the present invention provides is as follows:
A kind of dispatching method of assignment decisions, including:
Local command system is issued and is treated decision task;
By described, ICS treats that decision-making Task-decomposing is the Meta task collection including at least two Meta task, and by institute
State Meta task collection and be distributed to described place command system and outside decision system;
Described place command system and/or described outside decision system determine the described unit each accepted according to predetermined policy
Task;
After described place command system and/or described outside decision system complete the Meta task each accepted, feedback is described
The decision-making of Meta task and assessment result are to described ICS;
Described ICS determines according to the described decision-making of the described Meta task receiving and described assessment result
Excellent assignment decisions.
Preferably, described place command system and/or described outside decision system determine each undertaking according to predetermined policy
Meta task, including:
Described place command system and/or described outside decision system are according to the priority target function calculating task of itself
Complete capability goal value, determine the Meta task each accepted according to described capability goal value.
Preferably, also include:
Described excellent according to task feature and business speciality setting to described place command system and/or described outside decision system
The weight that first level object function weighted term and described weighted term account in assignment decisions.
Preferably, by described, described ICS treats that decision-making Task-decomposing is that including at least two Meta task unit appoints
Business collection, including:
Extract the weighting in described place command system and/or priority target function described in described outside decision system
, treat decision task according to described weighted term is decomposed.
Preferably, also include:
Described ICS accepts situation, the information to task undertaking person's distributed tasks decision-making needed for according to Meta task
Resource.
Preferably, before the information resources needed for described undertaking person's distributed tasks decision-making to task, also include:
Extract the keyword of described Meta task according to described weighted term;
Corresponding information resources are determined from information resource database according to described keyword.
A kind of scheduling system of assignment decisions, including:
Task release module, treats decision task for issuing;
Task-decomposing module, for treating that decision-making Task-decomposing is the Meta task collection including at least two Meta task by described,
And Meta task collection is distributed to described place command system and/or described outside decision system;
Task accepts module, for determining described Meta task according to predetermined policy;
Task feedback module, in local command system and/or outside decision system, is used for completing described Meta task
Afterwards, the decision-making of described Meta task and assessment result are fed back to described ICS;
Assignment decisions module, determines for the described decision-making according to the described Meta task receiving and described assessment result
Excellent assignment decisions.
Preferably, also include:
Function sets up module, for according to task feature and respective business speciality setting described place command system and/or
The weight that the priority target function weighted term of described outside decision system and described weighted term account in assignment decisions;
Described Task-decomposing module, is additionally operable to determine that task completes capability goal value according to described priority target function,
Determine the Meta task each accepted according to described capability goal value.
Preferably, described Task-decomposing module, is additionally operable to extract described place command system and/or described outside decision-making system
The weighted term united in described priority target function, treats decision task according to described weighted term is decomposed.
Preferably, also include:Resource distribution module, for accepting situation according to Meta task, appoints to task undertaking person distribution
Information resources needed for business decision-making.
Present invention advantage compared with prior art is:
The present invention is led to original decision system of ICS, local command system and outside decision system and network
Based on letter ability, construct using ICS as host node, local command system and outside decision system are independent
The distributed system architecture of partial node, all participants both may participate in task and issued, and can participate in assignment decisions parallel again.By appointing
Decentralization is decomposed in business, alleviates the decision-making treatment work that ICS is undertaken, realizes multitask and accept with multitask decision-making simultaneously
OK, therefore can enough meet the demand of substantial amounts of many task applications, rationally effectively to existing information resource and decision-making
System is implement resource integration, and realizes the decision-making requirements of the high-quality high-timeliness of contingency tasks under unconventional state.
Additionally, the present invention, with local command system and outside decision system as policymaker, introduces the concept of priority, for
Each decision system establishes targetedly priority target function, completes ability and competing for describing policymaker to task
Strive power;Extract the weighted term in all decision system priority target functions, be converted into Meta task collection as by primary task
Decompose foundation, establish the Task-decomposing flow process of fast and stable;Distribution condition with Meta task is according to it is achieved that information resources
Distribution according to need and distribution, both improve information resources and the data of assignment decisions supported, alleviated in system between all departments again
Network pressure.
Brief description
A kind of dispatching method schematic flow sheet of assignment decisions that Fig. 1 provides for the present embodiment;
A kind of scheduling system architecture schematic diagram of assignment decisions that Fig. 2 provides for the present embodiment.
Specific embodiment
For make present invention solves the technical problem that, the technical scheme that adopts and the technique effect that reaches clearer, below
By combine accompanying drawing the technical scheme of the embodiment of the present invention is described in further detail it is clear that described embodiment only
It is a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those skilled in the art exist
The every other embodiment being obtained under the premise of not making creative work, broadly falls into the scope of protection of the invention.
Further illustrate technical scheme below in conjunction with the accompanying drawings and by specific embodiment.Need explanation
It is that the present invention taking following examples as a example illustrates to technical scheme, but not in this, as restriction.This area
Technical staff can understand, the dispatching method of assignment decisions proposed by the invention remove for space-based information emergency security system it
Outward, can also be widely used in other same or like fields, and obtain similar technique effect.
Embodiment one:
As shown in figure 1, a kind of dispatching method schematic flow sheet of the assignment decisions providing for the present embodiment, the method is concrete
Comprise the following steps:
Step S101, local command system is issued and is treated decision task;
Daxinganling forest area fire prevention direction at county level portion finds forest fire hidden danger, is cleared to treat that decision-making is appointed with disaster hidden-trouble
Business is distributed in assignment decisions system;
Step S102, by described, ICS treats that decision-making Task-decomposing is the Meta task including at least two Meta task
Collection, and Meta task collection is distributed to local command system and outside decision system;
ICS (independent of or build in National Forest fire prevention direction portion) accept after this task, according to task class
Type, deadline of task, target type, target designation, target country origin, target area, draft monitoring meanss, resolution, frequency range, product
It is Meta task collection by Task-decomposing that type, product level, task issue department's priority, target priority, area priorities etc.,
Following list cell task-set comprises 3 Meta task altogether.And Meta task collection is distributed to forest fire protection office, each provincial forest fire protection
The place command system such as headquarter, People's Armed Police forest headquarter, satellite forest monitoring center and outside decision system.Step S103,
Local command system and/or outside decision system determine, according to predetermined policy, the Meta task each accepted, and feed back to described
Close command system;
Forest fire protection office, due to being easy to be coordinated with the National Forest department such as Russian, Mongolian, has been accepted and has reported
Area monitoring task
Forest Fire Prevention Direction portion of Heilongjiang Province is due to key area and report region all relatively to understand, having accepted key area
Monitoring task and report area monitoring task
Forest inspection personnel's communication task, due to more familiar to forest inspection personnel, has been accepted by People's Armed Police forest headquarter
Satellite forest monitoring center is more familiar due to applying to satellite forest, has accepted key area monitoring task, has reported
Area monitoring task and forest inspection personnel's communication task, provide satellite to select and Information Service Ability aspect for 3 Meta task
Decision-making and assessment result.
Each place command system and/or outside the accepted Meta task of decision system are the Meta task itself being good at decision-making.
And task undertaking result is and calculates gained by priority target function.
After step S104, local command system and/or outside decision system complete the Meta task each accepted, feedback unit appoints
The decision-making of business and assessment result are to described ICS;Wherein, local command system and/or outside decision system have solely
Vertical information resources, using the original decision system of each policymaker, complete Meta task decision-making using independent process, quick
Assessment result to the result of decision with to tasks carrying situation.
Step S105, described ICS, according to the decision-making of the Meta task receiving and assessment result, is calculated
OPTIMAL TASK decision-making.
ICS receives and collects Meta task decision set and assessment result, according to subsidiary assessment result and itself
Judgement complete the fusion of Meta task collection, OPTIMAL TASK decision-making is obtained by fusion treatment.
The present embodiment is with original decision system of ICS, local command system and outside decision system and network
Based on communication capacity, construct using ICS as host node, local command system and outside decision system are only
The distributed system architecture of vertical partial node, all participants both may participate in task and issued, and can participate in assignment decisions parallel again.Pass through
Task-decomposing is transferred, and alleviates the decision-making treatment work that ICS is undertaken, realizes multitask and accept and multitask decision-making
Parallel, the demand, rationally effectively to existing information resource and certainly of substantial amounts of many task applications therefore can enough be met
Plan system is implement resource integration, and realizes the decision-making requirements of the high-quality high-timeliness of contingency tasks under unconventional state.
Embodiment two:
On the basis of embodiment one, the technical scheme that the present embodiment provides, with local command system and outside decision-making system
Unite as policymaker, introduce the concept of priority, establish targetedly priority target function for each decision system, use
To describe decision system ability and competitiveness are completed to task, specifically, local command system and/or outside decision system are pressed
Determine, according to predetermined policy, the Meta task each accepted, specifically can include:
Local command system and/or outside decision system complete ability according to the priority target function calculating task of itself
Desired value, after comparing with predetermined threshold value, determines the Meta task each accepted.
Corresponding, described place command system and/or outside decision system calculate according to the priority target function of itself
Before task completes capability goal value, set up targetedly priority target function and be specifically as follows:
In advance each local command system and/or outside decision system are set according to task feature and respective business speciality
Put the weight that priority target function weighted term and described weighted term account in assignment decisions.
One of which specific implementation method is as follows:
(1) to each policymaker according to task feature and the business speciality design object function weighted term of itself, including
Task type, deadline of task, target type, target designation, target country origin, target area, draft monitoring meanss, resolution, frequently
Section, product type, product level, task issue the weighted term such as department's priority, target priority, area priorities, set each
The weight that weighted term accounts in assignment decisions, variable parameter corresponding relation see table 1.
Sequence number (i) | Variable parameter | Weighted term (each comprises multiple key elements) | Weight |
I=1 | wi | Task type | pi |
I=2 | wi | Deadline of task | pi |
I=3 | wi | Target type | pi |
I=4 | wi | Target designation | pi |
I=5 | wi | Target country origin | pi |
I=6 | wi | Target area | pi |
I=7 | wi | Draft monitoring meanss | pi |
I=8 | wi | Resolution | pi |
I=9 | wi | Frequency range | pi |
I=10 | wi | Product type | pi |
I=11 | wi | Product level | pi |
I=12 | wi | Task issues department's priority | pi |
I=13 | wi | Target priority | pi |
I=14 | wi | Area priorities | pi |
Table 1
(2) build priority target function
Wherein wijFor policymaker's priority target function weighted term wiIn the corresponding variate-value of j-th key element, span
For 0≤wij≤ 100, piFor weighted term wiCorresponding weighted value.
(3) structure task completes efficiency evaluation function
Wherein StFor task object region area, SrRealize monitored area area for decision scheme.
Build distributed system prototype, and choose n item completed typical mission case.With typical mission Task1 as number
According to source, with many monitoring meanss Simulation Evaluation platform for testing guarantee equipment, tested by Multi simulation running and obtain StTry with multiple
The S testingr.The W value that statistics is tested every time, corresponding weight array p when extracting W value maximumiAs baseline.With typical mission Task2
For Data Source, by the way of Simulation Evaluation, equally obtain W value, then finely tune weight array as W value diminishes, such as become and then carry out greatly
The next item down.With typical mission Taskm (0<m<N+1 it is) Data Source, is equally worth by the way of Simulation Evaluation, such as W value
Diminish and then finely tune weight array, such as become and then carry out the next item down greatly.When W value is maximum and variation tendency is negligible, record is current to be weighed
Tuple is according to pi, as the weighted value of priority target function weighted term, then obtained decision system priority target function:
After receiving Meta task collection, automatically extract task type in Meta task, deadline of task, target type, target designation,
Target country origin, target area, draft monitoring meanss, resolution, frequency range, product type, product level, task issue department preferential
The information such as level, target priority, area priorities, lack item and are set to 0, call described priority target function, by said extracted
Information substitutes into function and obtains desired value;To set threshold values L as judging border, the Meta task collection that desired value is more than L feeds back to connection
Close command system.
The present embodiment is directed to each local command system and outside decision system establishes targetedly priority target
Function, completes ability and competitiveness for describing decision system to task, is that the optimum allocation of task provides technical scheme.
Embodiment three:
On the basis of embodiment two, present embodiments provide one kind and treat that decision-making Task-decomposing is including at least two by described
The embodiment of the Meta task collection of individual Meta task, specifically includes:
Extract the weighted term in local command system and/or outside decision system priority target function, divide as task
Solution treats decision task according to described in decomposition.
Specific embodiment can be as follows:
(1) extract the weighted term in all decision system priority target functions, weighted term details are shown in Table 1;
(2) with task type as foundation, will treat that decision task is decomposed according to task type;
(3) with the monitoring cycle of monitoring meanss as cut-point, will treat that decision task was decomposed according to the time;
(4) with target type as foundation, will treat that decision task is decomposed according to target type;
(5) successively with target designation, target country origin, target area, draft monitoring meanss, resolution, frequency range, product class
Type, product level, task issue department priority, target priority, area priorities are foundation, will treat that decision task is carried out point
Level, obtains Meta task collection.
ICS (independent of or build in National Forest fire prevention direction portion) accept after this task, according to task class
Type, deadline of task, target type, target designation, target country origin, target area, draft monitoring meanss, resolution, frequency range, product
It is Meta task collection by Task-decomposing that type, product level, task issue department's priority, target priority, area priorities etc.,
Following list cell task-set comprises 3 Meta task altogether.And Meta task collection is distributed to forest fire protection office, each provincial forest fire protection
The place command system such as headquarter, People's Armed Police forest headquarter, satellite forest monitoring center and outside decision system;The present embodiment carries
Take the weighted term in all decision system priority target functions, as by treat decision task be converted into the decomposition of Meta task collection according to
According to establishing the Task-decomposing flow process of fast and stable, lay the foundation for associating of realizing that Task-decomposing and task distribute.
Example IV:
On the basis of embodiment two, present embodiments provide a kind of allocative decision of information resources, so that described joint
Command system can support local command system and/or outside decision system completes the task of each accepting, specifically, described
Before local command system and/or outside decision system complete the Meta task each accepted, can also include:
ICS accepts situation according to Meta task, the information money needed for task undertaking person's distributed tasks decision-making
Source.
Further, described ICS can obtain corresponding information resources by following scheme:
Before information resources needed for described from undertaking person's distributed tasks decision-making to task, can also include:
According to described weighted term, keyword extraction is carried out to Meta task;
From information resource database, above-mentioned keyword is entered with line retrieval, obtains corresponding information resources.
Specific embodiment may include steps of:
ICS obtains the information resources of National Forest fire prevention direction portion and the State Administration of Forestry in real time, and composition is the most
Comprehensively information data supports storehouse;
(1) ICS carries out keyword extraction according to the weighted term classification described in table 1 to Meta task;Joint refers to
After the system of waving receives the Meta task collection of undertaking of feedback, automatically extract task type, deadline of task, target type, destination name
Title, target country origin, target area, draft monitoring meanss, resolution, frequency range, product type, product level, task issue department
The information such as priority, target priority, area priorities.
(2) ICS enters line retrieval from information resource database to above-mentioned keyword, obtains corresponding information
Resource;
Highest priority monitoring task Information Resources Searching scope:There is which withered forest section in Daxinganling forest area, often
The region longitude and latitude degrees of data of individual withered forest section, the history data on fire of each withered forest section, each withered forest piece
The normality image in area
Report area monitoring mission bit stream resource retrieval scope:Report the region longitude and latitude degrees of data of wood land, report gloomy
The history data on fire in forest zone domain, reports the normality image of wood land, and report wood land and external forest zone borders on situation,
Report wood land abroad in the monitoring range of which forest fire protection monitoring department
Inspection personnel's communication task Information Resources Searching scope:Daxinganling forest area fire check people communication's means, on
Report region fire check people communication's means, fire check people communication's frequency range, fire check people communication's signal intercepts task
Historical data
(3) information resources retrieving are distributed to corresponding decision system by ICS;
The information resources that ICS will obtain in above-mentioned range of search, according to forest fire protection office, Heilungkiang
Province Forest Fire Prevention Direction portion, People's Armed Police forest headquarter, the Meta task of satellite forest monitoring center are accepted situation and are distributed respectively
(4) decision system parses to package information resource, starts decision-making.
The present embodiment is according to it is achieved that the distribution according to need of information resources and distribution with the distribution condition of Meta task, both carries
High information resources are supported to the data of assignment decisions, alleviate between each system again and internal system network pressure.
Embodiment five:
Corresponding to said method embodiment, the present embodiment additionally provides a kind of scheduling system of assignment decisions, as shown in Figure 2
System architecture schematic diagram, this system specifically includes:
Task release module 201, in local command system, treats decision task for issuing;
By described, Task-decomposing module 202, in ICS, for treating that decision-making Task-decomposing is including at least
The Meta task collection of two Meta task, and Meta task collection is distributed to local command system and outside decision system;
Task accepts module 203, in local command system and/or outside decision system, for according to predetermined policy
Determine the Meta task each accepted, and feed back to described ICS;
Task feedback module 204, in local command system and/or outside decision system, is used for completing each to accept
Meta task after, the feedback decision-making of Meta task and assessment result are to described ICS;
Assignment decisions module 205, in described ICS, for the decision-making according to the Meta task receiving
And assessment result, it is calculated OPTIMAL TASK decision-making.
The scheme that the present embodiment provides, can also establish and be directed to each local command system and outside decision system
The priority target function of property, completes ability and competitiveness to describe decision system to task, is that the optimum allocation of task carries
Supply technical scheme.Therefore described system can also include:
Function sets up module, for each local command system and/or outside decision system according to task feature and
Each business speciality arranges the weight that priority target function weighted term and described weighted term account in assignment decisions;
Described Task-decomposing module, is additionally operable to complete capability goal according to the priority target function calculating task of itself
Value, after comparing with predetermined threshold value, determines the Meta task each accepted.
In the scheme that the present embodiment provides, the weighted term in all decision system priority target functions can also be extracted,
As treating that decision task is converted into the decomposition foundation of Meta task collection, set up the Task-decomposing flow process of fast and stable, for realizing appointing
Business decomposition is laid the first stone with associating of task distribution.
Therefore, described Task-decomposing module, is additionally operable to extract local command system and/or outside decision system priority mesh
Weighted term in scalar functions, treats decision task as Task-decomposing according to described in decomposition
Additionally, information resources can also be realized with the distribution condition of Meta task as foundation in the scheme of the present embodiment offer
Distribution according to need and distribution, improve information resources and the data of assignment decisions supported, mitigate between each system and internal system
Network pressure, therefore described, can also include:
Resource distribution module, in ICS, for accepting situation according to Meta task, to task undertaking person
Information resources needed for distributed tasks decision-making.
The present embodiment is with original decision system of ICS, local command system and outside decision system and network
Based on communication capacity, construct using ICS as host node, local command system and outside decision system are only
The distributed system architecture of vertical partial node, all participants both may participate in task and issued, and can participate in assignment decisions parallel again.Pass through
Task-decomposing is transferred, and alleviates the decision-making treatment work that ICS is undertaken, realizes multitask and accept and multitask decision-making
Parallel, the demand, rationally effectively to existing information resource and certainly of substantial amounts of many task applications therefore can enough be met
Plan system is implement resource integration, and realizes the decision-making requirements of the high-quality high-timeliness of contingency tasks under unconventional state.
All or part of content in the technical scheme that above example provides can pass through software programming or specialized hardware
Equipment is realized, and wherein software program is stored in the storage medium that can read, and storage medium is for example:Hard disk in computer, light
Disk or floppy disk;Special hardware can be ASIC, FPGA, SoC or the IP Core with related circuit.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of dispatching method of assignment decisions is it is characterised in that include:
Local command system is issued and is treated decision task;
By described, ICS treats that decision-making Task-decomposing is the Meta task collection including at least two Meta task, and by described unit
Task-set is distributed to described place command system and outside decision system;
According to predetermined policy, described place command system and/or described outside decision system determine that the described unit each accepted appoints
Business;
After described place command system and/or described outside decision system complete the Meta task each accepted, feed back described unit and appoint
The decision-making of business and assessment result are to described ICS;
Described ICS determines optimum appointing according to the described decision-making of the described Meta task receiving and described assessment result
Business decision-making.
2. method according to claim 1 is it is characterised in that described place command system and/or described outside decision-making system
System determines the Meta task each accepted according to predetermined policy, including:
Described place command system and/or described outside decision system complete according to the priority target function calculating task of itself
Capability goal value, determines the Meta task each accepted according to described capability goal value.
3. method according to claim 2 is it is characterised in that also include:
According to task feature and business speciality, described priority is arranged to described place command system and/or described outside decision system
The weight that object function weighted term and described weighted term account in assignment decisions.
4. method according to claim 3 is it is characterised in that described ICS treats decision-making Task-decomposing by described
It is the Meta task collection including at least two Meta task, including:
Extract the weighted term in described place command system and/or priority target function described in described outside decision system, root
Treat decision task according to described in the decomposition of described weighted term.
5. method according to claim 3 is it is characterised in that also include:
Described ICS accepts situation according to Meta task, the information money needed for task undertaking person's distributed tasks decision-making
Source.
6. method according to claim 5 is it is characterised in that letter needed for described from undertaking person's distributed tasks decision-making to task
Before breath resource, also include:
Extract the keyword of described Meta task according to described weighted term;
Corresponding information resources are determined from information resource database according to described keyword.
7. a kind of scheduling system of assignment decisions is it is characterised in that include:
Task release module, treats decision task for issuing;
Task-decomposing module, for treating that decision-making Task-decomposing is the Meta task collection including at least two Meta task by described, and will
Meta task collection is distributed to described place command system and/or described outside decision system;
Task accepts module, for determining described Meta task according to predetermined policy;
Task feedback module, in local command system and/or outside decision system, after being used for completing described Meta task, will
The decision-making of described Meta task and assessment result feed back to described ICS;
Assignment decisions module, determines optimum appointing for the described decision-making according to the described Meta task receiving and described assessment result
Business decision-making.
8. system as claimed in claim 7 is it is characterised in that also include:
Function sets up module, for according to task feature and respective business speciality setting described place command system and/or described
The weight that the priority target function weighted term of outside decision system and described weighted term account in assignment decisions;
Described Task-decomposing module, is additionally operable to determine that task completes capability goal value according to described priority target function, according to
Described capability goal value determines the Meta task each accepted.
9. system as claimed in claim 8 it is characterised in that:
Described Task-decomposing module, is additionally operable to extract described in described place command system and/or described outside decision system preferentially
Weighted term in level object function, treats decision task according to described weighted term is decomposed.
10. system as claimed in claim 7 is it is characterised in that also include:
Resource distribution module, the information money for situation is accepted according to Meta task, needed for task undertaking person's distributed tasks decision-making
Source.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109558998A (en) * | 2017-09-25 | 2019-04-02 | 国家电网公司信息通信分公司 | Dispatching method and server in the assessment of patent value machine |
CN111046103A (en) * | 2019-11-29 | 2020-04-21 | 微创(上海)网络技术股份有限公司 | Decision method for distributed concurrent data processing tasks |
CN113687936A (en) * | 2021-05-31 | 2021-11-23 | 杭州云栖智慧视通科技有限公司 | Scheduling method for accelerating tuning convergence in TVM (transient state memory), storage medium and electronic equipment |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109558998A (en) * | 2017-09-25 | 2019-04-02 | 国家电网公司信息通信分公司 | Dispatching method and server in the assessment of patent value machine |
CN109558998B (en) * | 2017-09-25 | 2023-09-22 | 国家电网公司信息通信分公司 | Scheduling method and server in patent value machine evaluation |
CN111046103A (en) * | 2019-11-29 | 2020-04-21 | 微创(上海)网络技术股份有限公司 | Decision method for distributed concurrent data processing tasks |
CN113687936A (en) * | 2021-05-31 | 2021-11-23 | 杭州云栖智慧视通科技有限公司 | Scheduling method for accelerating tuning convergence in TVM (transient state memory), storage medium and electronic equipment |
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