CN106845785A - A kind of Multi-satellite TTC resource regulating method based on multiple objective function - Google Patents
A kind of Multi-satellite TTC resource regulating method based on multiple objective function Download PDFInfo
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- CN106845785A CN106845785A CN201611214912.4A CN201611214912A CN106845785A CN 106845785 A CN106845785 A CN 106845785A CN 201611214912 A CN201611214912 A CN 201611214912A CN 106845785 A CN106845785 A CN 106845785A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18519—Operations control, administration or maintenance
Abstract
The invention discloses a kind of Multi-satellite TTC resource regulating method based on multiple objective function, the method comprises the following steps：Set up the TT＆C Resources scheduling model of multiple objective function；Obtain the optimal solution of multiple objective function.The invention provides the Multi-satellite TTC resource regulating method of multiple objective function, the method is object function to the maximum with task completion number, observing and controlling time, resource utilization, sets up multiple target resource dispatching model；Then, the Multi-satellite TTC dispatching method based on weighting method is solved using the method for exhaustion, obtains final optimal solution, so that, there is provided a kind of computation complexity is relatively low, consider the Multi-satellite TTC resource regulating method of multiple target.
Description
Technical field
The present invention relates to Satellite TT scheduling of resource technical field, and in particular to a kind of many stars based on multiple objective function are surveyed
Control resource regulating method.
Background technology
It is TT＆C task demand in the case of known TT＆C Resources, task priority that Satellite TT scheduling of resource refers to
Distribution TT＆C Resources and observing and controlling perform time window, meeting in the case of Prescribed Properties and optimizing scheduling target, are formed
Effective testing and control project.
Early stage has scholar to propose using task available time windows as decision variable, so can easily cause TT＆C Resources
Waste and sacrifice the flexibility of scheduling time.Meanwhile, TT＆C task priority and earth station's priority are only considered, seldom examine
Consider observing and controlling SEE time window utilization rate and observing and controlling working time length so that final solution cannot simultaneously meet satellite user
With the requirement of TT＆C Resources manager.In being solved to multi-objective optimization question, there are many optimization methods, such as heredity is calculated
Method.Although globally optimal solution can be found, computational complexity is very high, and ageing stronger task is not easy to meet.
, it is necessary to find a kind of simple, efficient method to solve multi-objective optimization question during and needs correct result general to scale.
Therefore, many stars survey for wanting a kind of simple efficient method to solve the multiple objective function of multi-objective optimization question is needed badly
Control resource regulating method.
The content of the invention
Technical problem
In view of this, the embodiment of the present invention provides the Multi-satellite TTC resource regulating method of multiple objective function, to scale one
As and need correct result task constantly, solve multi-objective optimization question in a kind of simple efficient method.
According to an aspect of the present invention, a kind of Multi-satellite TTC resource regulating method based on multiple objective function is disclosed,
It is characterised in that it includes following steps：
Set up the TT＆C Resources scheduling model of multiple objective function；
Obtain the optimal solution of object function.
Wherein in one embodiment, it is described set up multiple objective function TT＆C Resources scheduling model the step of, be with survey
Control number of tasks is maximum, the observing and controlling working time is most long and SEE time window utilization rate is object function to the maximum, sets up multiple target
Resource dispatching model.
It is described that object function, the target resource scheduling of foundation are to the maximum with TT＆C task number wherein in one embodiment
Model is：
Wherein, m is that task completes number, piIt is task weight, span is [1,5], tiFor the 0-1 whether task completes
Type decision variable.
Wherein in one embodiment, described with observing and controlling working time up to object function, the target resource of foundation is adjusted
Spending model is：
Wherein,Expression task start and end time is poor, span for (0h, 12h].
Wherein in one embodiment, object function, the target resource of foundation are to the maximum with SEE time window utilization rate
Scheduling model is：
Wherein, T represents the geometry its visibility window total time of measuring and controlling equipment.
Wherein in one embodiment, it is described obtain multiple objective function optimal solution the step of, comprise the following steps：
The TT＆C Resources scheduling model of the multiple objective function is optimized；
The optimal solution of object function is obtained using the method for exhaustion.
It is described the step of the TT＆C Resources scheduling model of multiple objective function is optimized wherein in one embodiment,
Comprise the following steps：
Will it is maximum with TT＆C task number, the observing and controlling working time is most long and SEE time window utilization rate is target letter to the maximum
It is unitization that the target resource scheduling model that number is set up carries out object function respectively；
Unitization object function is weighted optimization.
It is described to dispatch the target resource for being object function foundation to the maximum with TT＆C task number wherein in one embodiment
Model carries out the unitization model for obtaining that processes of object function：It is described will be most long with the observing and controlling working time
For the model that the unitization treatment of target resource scheduling model row object function that object function is set up is obtained is：It is described to be the target resource of object function foundation to the maximum with SEE time window utilization rate
Scheduling model carries out the unitization model for obtaining that processes of object function：
It is the step of the use method of exhaustion obtains the optimal solution of object function including as follows wherein in one embodiment
Step：
Obtain visible arc segment information；
Form visible segmental arc combination；
Judge whether task can perform；
If not can perform, the step of continuing executing with to form visible segmental arc and combine；
If executable, object function is solved；
Judge whether solving result is current optimal solution；
If not current optimal solution, then the step of continuing executing with to form visible segmental arc and combine；
If current optimal solution, then judge whether whole traversals；
If without whole traversals, the step of retaining current optimal solution and continue executing with to form visible segmental arc and combine；
If all traveled through, current optimal solution is exported.
Using above-mentioned technical proposal, the present invention can at least obtain following technique effects：
A kind of Multi-satellite TTC resource regulating method based on multiple objective function of the present invention is with TT＆C Resources to senior middle school's low orbit
The integration of satellite is scheduling to background, and whether decision variable is performed as with task, considers satellite user user and survey
Control requirement dispatch to observing and controlling of resource management side, it is proposed that with complete TT＆C task quantity maximum, observing and controlling working time it is most long and
SEE time window utilization rate is regulation goal, on the basis of constraint is met, establishes TT＆C Resources scheduling model；
When multi-objective optimization question is solved, the situation of and needs correct result general for scale, the present invention is one
Plant simple efficient, it is further contemplated that the resource regulating method of multiple targets.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, institute in being described to the embodiment of the present invention below
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also implement according to the present invention
The content and these accompanying drawings of example obtain other accompanying drawings.
Fig. 1 is the Multi-satellite TTC resource regulating method flow chart of one embodiment of the invention multiple objective function；
Fig. 2 is the flow chart of embodiment illustrated in fig. 1 step S140；
Fig. 3 is the flow chart of embodiment illustrated in fig. 2 step S142；
Fig. 4 is the flow chart of embodiment illustrated in fig. 2 step S144.
Through accompanying drawing, it should be noted that similar label is used to describe same or analogous element, feature and structure.
Specific embodiment
The disclosure for providing description referring to the drawings to help comprehensive understanding to be limited by claim and its equivalent
Various embodiments.Hereinafter description includes the various details for helping understand, but these details will be considered as only being example
Property.Therefore, it will be appreciated by those of ordinary skill in the art that do not depart from the scope of the present disclosure and spirit in the case of, can be right
Various embodiments described herein makes various changes and modifications.In addition, in order to clear and succinct, known function and construction are retouched
Stating to be omitted.
Term and vocabulary used in following description and claims are not limited to document implication, but only by inventor
For enabling the disclosure clearly and as one man to be understood.Therefore, to those skilled in the art it should be apparent that carrying
The description of various embodiments of this disclosure is merely to exemplary purpose under being provided with, and it is unrestricted by appended claims and its
The purpose of the disclosure that equivalent is limited.
It should be understood that unless context is clearly indicated in addition, otherwise singulative also includes plural.Thus, for example,
Reference to " assembly surface " includes the reference to one or more such surfaces.
Below explanation is specifically addressed according to Fig. 1-4 pairs of embodiment of the present invention.
Fig. 1 is the Multi-satellite TTC resource regulating method flow chart of one embodiment of the invention multiple objective function.
Fig. 2 is the flow chart of embodiment illustrated in fig. 1 step S140.
Fig. 3 is the flow chart of embodiment illustrated in fig. 2 step S142.
Fig. 4 is the flow chart of embodiment illustrated in fig. 2 step S144.
Fig. 1 is a kind of Multi-satellite TTC resource regulating method 100 based on multiple objective function of the present invention, and the method 100 is specific
Comprise the following steps：
Step S120：Set up the TT＆C Resources scheduling model of multiple objective function.
Step S140：Obtain the optimal solution of multiple objective function.
A kind of computation complexity of present invention offer is relatively low, consider the Multi-satellite TTC resource regulating method 100 of multiple target.
Wherein, the step of above-mentioned steps S120 sets up the TT＆C Resources scheduling model of multiple objective function, is with measurement task
Number is maximum, the observing and controlling time is most long and resource utilization is object function to the maximum, sets up multiple target resource dispatching model.
Multi-satellite TTC resource scheduling, considers from satellite user and TT＆C Resources manager, with task whether
Decision variable is implemented as, the TT＆C Resources scheduling model of multiple objective function is established.
Wherein, consider from satellite user, the TT＆C task number of integrated treatment should be maximum, above-mentioned maximum with TT＆C task number
It is object function, the target resource scheduling model of foundation is：
Wherein, m is that task completes number, piIt is task weight, span is [1,5], tiFor the 0-1 whether task completes
Type decision variable.
Consider from Satellite TT resource management side, should make the measuring and controlling equipment observing and controlling time most long within the limited time.It is above-mentioned
With observing and controlling working time up to object function, the target resource scheduling model of foundation is：
Wherein,Expression task start and end time is poor, span for (0h, 12h].
Consider that resource utilization is maximum, i.e., successful dispatch TT＆C task takes measuring and controlling equipment and carries out the total time of observing and controlling service
And the ratio between the geometry SEE time window total time of measuring and controlling equipment.It is above-mentioned that mesh is to the maximum with SEE time window utilization rate
Scalar functions, the target resource scheduling model of foundation is：
Wherein, T represents the geometry its visibility window total time of measuring and controlling equipment.
The step of above-mentioned steps S140 obtains the optimal solution of multiple objective function, comprises the following steps：
Step S142：The TT＆C Resources scheduling model of multiple objective function is optimized.
Above-mentioned S142 the step of the TT＆C Resources scheduling model of multiple objective function is optimized, comprises the following steps：
Step S1422：Will, the observing and controlling working time maximum with TT＆C task number be most long and SEE time window utilization rate most
It is unitization that the target resource scheduling model that greatly object function is set up carries out object function respectively.
Three object functions can be converted into a target letter by the present invention three object functions of design using weighting method
Number, simultaneously because be difficult to compare between each object function, each object function is unitization, can just be weighted.
Wherein, it is above-mentioned that the target resource scheduling model for being object function foundation to the maximum with TT＆C task number is carried out into target letter
Counting the unitization models for obtaining that process is：
The target resource scheduling model row object function that will be set up with observing and controlling working time up to object function is unitization
Processing the model for obtaining is：
The target resource scheduling model for being object function foundation to the maximum with SEE time window utilization rate is carried out into target letter
Counting the unitization models for obtaining that process is：
Step S1424：Unitization object function is weighted optimization.
Model after above-mentioned unitization object function memory optimization is as follows：
MI=max (wcFC+wdFD+weFE)。
Step S144：The optimal solution of multiple objective function is obtained using the method for exhaustion.
Observing and controlling scheduling model is converted into by single goal model by weighting method, using many star ground of method of exhaustion optimization single goal
Stand observing and controlling scheduling problem.The method of exhaustion, also known as enumerative technique, refers to that all situations are solved according to certain rule or order, in symbol
In the result of conjunction condition, the result optimal for required problem is selected, never violated in the result of constraints, finding makes target
The segmental arc the surveyed combination of Function Optimization.
Wherein, the step of above-mentioned use method of exhaustion obtains the optimal solution of multiple objective function, comprises the following steps：
Step S1441：Obtain visible arc segment information.
Step S1442：Form visible segmental arc combination.
Step S1443：Judge whether task can perform.If not can perform, continue executing with step S1442 and form visible
Segmental arc is combined.
If executable, step S1444 is performed：Solve object function.
Step S1445：Judge whether solving result is current optimal solution.
If not current optimal solution, then continue executing with step S1442 and form visible segmental arc combination.
If current optimal solution, then perform step 1446：Judge whether whole traversals.
If without whole traversals, retaining current optimal solution and continuing executing with step S1442 and form the combination of visible segmental arc.
If all traveled through, step S1447 is performed：Export current optimal solution.
The invention provides the Multi-satellite TTC resource regulating method 100 of multiple objective function, the method with task quantity performed,
Observing and controlling working time, SEE time window utilization rate are object function to the maximum, set up multiple target resource dispatching model；Then, adopt
The Multi-satellite TTC dispatching method based on weighting method is solved with the method for exhaustion, final optimal solution is obtained.So as to, there is provided one kind calculates multiple
Miscellaneous degree is relatively low, consider the Multi-satellite TTC resource regulating method of multiple target.
It should be noted that the various embodiments of the disclosure as described above are generally related to input data to a certain extent
Treatment and output data generation.The treatment of this input data and output data generation can be in hardware or soft with combination of hardware
Realized in part.For example, can in mobile device or similar or related circuit using specific electronic components for realize with
The function of the various embodiments association of the disclosure as described above.Alternatively, according to the instruction for being stored operate one or more
Multiple processors can realize the function of being associated with the various embodiments of the disclosure as described above.If it is, then these instructions
Can be stored on one or more non-transitory processor readable mediums, this is in the scope of the present disclosure.Processor can
The example for reading medium includes read-only storage (ROM), random access memory (RAM), CD-ROM, tape, floppy disk and optics number
According to storage device.In addition, for realizing that functional computer program, instruction and the instruction segment of the disclosure can be by disclosure arts
Programmer easily explain.
Although the various embodiments with reference to the disclosure have shown and described the disclosure, those skilled in the art will manage
Solution, in the case where the spirit and scope of the present disclosure being defined by the appended claims and the equivalents thereof are not departed from, can enter to it
Various changes in row form and details.
Claims (9)
1. a kind of Multi-satellite TTC resource regulating method based on multiple objective function, it is characterised in that comprise the following steps：
Set up the TT＆C Resources scheduling model of multiple objective function；
Obtain the optimal solution of object function.
2. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 1, it is characterised in that the foundation is more
The step of TT＆C Resources scheduling model of object function, is so that TT＆C task number is maximum, the observing and controlling working time is most long and pot life
Window utilization rate is object function to the maximum, sets up multiple target resource dispatching model.
3. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 2, it is characterised in that described with observing and controlling
Number of tasks is object function to the maximum, and the target resource scheduling model of foundation is：
Wherein, m is that task completes number, piIt is task weight, span is [1,5], tiFor the 0-1 types whether task completes are determined
Plan variable.
4. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 2, it is characterised in that described with observing and controlling
Working time up to object function, the target resource scheduling model of foundation is：
Wherein,Expression task start and end time is poor, span for (0h, 12h].
5. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 2, it is characterised in that with SEE time
Window utilization rate is object function to the maximum, and the target resource scheduling model of foundation is：
Wherein, T represents the geometry its visibility window total time of measuring and controlling equipment.
6. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 2, it is characterised in that the acquisition is more
The step of optimal solution of object function, comprise the following steps：
The constraint of each object function is analyzed, function representation is given；
The TT＆C Resources scheduling model of the multiple object function is optimized, unitization treatment；
The optimal solution of object function is obtained using the method for exhaustion.
7. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 6, it is characterised in that described by many mesh
The step of TT＆C Resources scheduling model of scalar functions is optimized, comprises the following steps：
Will it is maximum with TT＆C task number, the observing and controlling working time is most long and SEE time window utilization rate is object function to the maximum and builds
It is unitization that vertical target resource scheduling model carries out object function respectively；
Unitization object function is weighted optimization.
8. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 7, it is characterised in that：
To carry out object function unitization for the target resource scheduling model that object function foundation will be to the maximum with TT＆C task number
Processing the model for obtaining is：
The target resource scheduling model row object function that will be set up with observing and controlling working time up to object function is unitization
Processing the model for obtaining is：
It is described that the target resource scheduling model for being object function foundation to the maximum with SEE time window utilization rate is carried out into target letter
Counting the unitization models for obtaining that process is：
9. the Multi-satellite TTC resource regulating method of multiple objective function as claimed in claim 7, it is characterised in that described using poor
The step of act method obtains the optimal solution of object function, comprises the following steps：
Obtain visible arc segment information；
Form visible segmental arc combination；
Judge whether task can perform；
If not can perform, the step of continuing executing with to form visible segmental arc and combine；
If executable, object function is solved；
Judge whether solving result is current optimal solution；
If not current optimal solution, then the step of continuing executing with to form visible segmental arc and combine；
If current optimal solution, then judge whether whole traversals；
If without whole traversals, the step of retaining current optimal solution and continue executing with to form visible segmental arc and combine；
If all traveled through, current optimal solution is exported.
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| CN114884560A (en) * | 2022-04-19 | 2022-08-09 | 中国西安卫星测控中心 | Arc segment multiplexing fusion method for multi-user resource application |
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