CN106339540A - Fast action sequence and data field algorithm - Google Patents
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- CN106339540A CN106339540A CN201610711542.9A CN201610711542A CN106339540A CN 106339540 A CN106339540 A CN 106339540A CN 201610711542 A CN201610711542 A CN 201610711542A CN 106339540 A CN106339540 A CN 106339540A
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- 230000009471 action Effects 0.000 title claims abstract description 44
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 25
- 238000004088 simulation Methods 0.000 claims abstract description 22
- 230000008485 antagonism Effects 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 13
- 230000006399 behavior Effects 0.000 claims description 12
- 230000001629 suppression Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000003042 antagnostic effect Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 6
- 238000012300 Sequence Analysis Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000005670 electromagnetic radiation Effects 0.000 claims description 4
- 239000003086 colorant Substances 0.000 claims description 3
- 230000000873 masking effect Effects 0.000 claims description 2
- 238000007418 data mining Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 7
- 238000012800 visualization Methods 0.000 abstract description 7
- 238000004364 calculation method Methods 0.000 abstract description 4
- 230000005672 electromagnetic field Effects 0.000 description 6
- 230000008901 benefit Effects 0.000 description 4
- 230000006872 improvement Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005674 electromagnetic induction Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
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Abstract
The invention discloses a fast action sequence and data field algorithm. The fast action sequence and data field algorithm comprises the following steps: step 1, determining combat entities, combat operations and combat missions of adversarial both parties according to a solution deduction plan; step 2, determining an entity model according to the combat entities of the adversarial both parties to determine an attribute parameter, reading a direction graph attribute or a performance attribute according to the plan requirements for antenna parameter configuration and performing enemy state identification; step 3, establishing a series of interrelated and hierarchical action sequences according to the combat missions and analyzing an adversarial relationship; step 4, comprehensively judging whether the simulation is completed or not, ending if yes and returning to the step 3 by advancing a time event sequence if not. According to the fast action sequence and data field algorithm, disclosed by the invention, based on adversarial clustering data mining, a simulation event time sequence can be established, so that the simulation calculation amount among adversarial units can be effectively reduced; meanwhile, fast data field drawing can be performed on electromagnetic situations, so that the simulation efficiency and the visualization effect are improved.
Description
Technical field
The present invention relates to Electromagnetic Simulation visualization field, particularly to a kind of action sequence based on antagonism cluster data mining
Row and data fields fast algorithm.
Background technology
The rapidity of electromagnetic-field simulation directly affects simulation efficiency, and the effect of visualization of electromagnetic field can carry to decision-maker
For the macroscopic concept of spatial distribution, provide reference frame for decision-making.The invisible characteristic of electromagnetic field and quick variation characteristic make
Difficult to form effect of visualization directly perceived when electromagnetic radiation, electromagnetic induction, electromagnetic interference, an existing technology part is
Carry out antenna pattern modeling and simulation for device antenna, a part is the modeling and simulation for equipment power range.?
Represent electromagnetic field integral macroscopic distribution aspect for decision-maker, technical method is less, and simulation efficiency not high it is also difficult to imitative
Effectively carry out manual intervention during true.This algorithm exactly, in Electromagnetic Situation emulation, is detectd for radar, communication and antagonism
Examine, the electromagnetic field of jamming equipment carries out joint modeling, a kind of fast algorithm that manual intervention is processed is provided.
Content of the invention
Based on above the deficiencies in the prior art, technical problem solved by the invention is to provide a kind of high treating effect
Action sequence and data fields fast algorithm, this action sequence is imitative with the existing emulation mode of data fields fast algorithm energy effectively solving
True efficiency is low, be difficult to manual intervention, the non-intuitive technical problem of Electromagnetic Situation.
In order to solve above-mentioned technical problem, the present invention provides a kind of action sequence and data fields fast algorithm, including following
Step:
Step one, deduces plan according to scheme and determines antagonism both sides' operation entity, operation and combat duty；
Step 2, determines physical model so that it is determined that property parameters according to antagonism both sides' operation entity；Plan according to deducing
Require, the directional diagram attribute of reading or attribute of performance carry out antenna parameter configuration, then the enemy and we's status indicator carrying out operation entity；
Step 3, sets up a series of action sequences associated with each other, having hierarchical structure according to combat duty and analyzes
Antagonistic Relationship；Operation is determined according to enemy and we's mark and action sequence, the scheme prepared according to operation and device model
Data, entity behavior is divided into physical movement, electromagnetic radiation and electromagnetism and receives；Scout class by resisting cluster analyses to detecting
Model and carry out countermeasure effectiveness resolving to anti-interference class model, then carries out situation data fields distribution core and action sequence and electricity
Magnetic frequency collision detection；According to Antagonistic Relationship to the goal constraint of restriction relation trigger condition, time-constrain, action constraint and people
Work intervention is analyzed detecting that electromagnetism frequency conflicts；
According to simulation time, step 4, judging whether emulation completes, if completing, terminating, if not completing, by during propulsion
Between sequence of events return to step 3.
As the preferred implementation of technique scheme, action sequence provided in an embodiment of the present invention is quick with data fields
Algorithm further includes the part or all of of following technical characteristic:
As the improvement of technique scheme, in one embodiment of the invention, described according to action sequence analysis pair
Anti- relation, be according to time stepping method and action sequence, using radar range model, radar ew reconnaissance distance model,
The models such as shape shadow model, loss model, directional diagram factor model calculate and detect and counterreconnaissance ability, and check radiation
Source covers sensitive source situation；Calculate interference using models such as radar electronic warfare disturbance suppression model, communication countermeasure disturbance suppression models
Compacting ability.Due to having carried out the analysis of antagonism entity cluster using cluster data mining algorithm, reduce mould in sequence analysis
Type computational complexity, improves model computational efficiency.
As the improvement of technique scheme, in one embodiment of the invention, described by resisting cluster analyses pair
Detect and scout class model and countermeasure effectiveness resolving is carried out to anti-interference class model, be that the data that model is calculated carries out efficiency and divides
Class, sets up the geometric element of the data curve of field distribution and curved surface, gives different colors and transparency to different geometric elements, directly
Connect using bottom opengl graphic interface, map that to Electromagnetic Situation display layer.
As the improvement of technique scheme, in one embodiment of the invention, in described step 4, if not completing,
After manual intervention order, next emulation stepping time is adjusted to entity behavior, advances time-event sequence
Return to step 3.
Compared with prior art, technical scheme has the advantages that clustering based on antagonism of the present invention
The action sequence of data mining and data fields fast algorithm can set up simulated events time serieses, effectively reduce between antagonism unit
Simulation calculation amount；Electromagnetic Situation can be carried out with data fields Fast Drawing simultaneously, improve simulation efficiency and effect of visualization.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of description, and in order to allow the above and other objects, features and advantages of the present invention can
Become apparent, below in conjunction with preferred embodiment, describe in detail as follows.
Brief description
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, the accompanying drawing of embodiment simply will be situated between below
Continue.
Fig. 1 is action sequence and the data fields fast algorithm basic flow sheet of the preferred embodiment of the present invention.
Specific embodiment
The following detailed description of the specific embodiment of the present invention, its as the part of this specification, by embodiment Lai
The principle of the present invention is described, other aspects of the present invention, feature and its advantage will become apparent from by this detailed description.
As shown in figure 1, the basic flow sheet of take action for the preferred embodiment of the present invention sequence and data fields fast algorithm, this
Bright action sequence and data fields fast algorithm, comprise the following steps:
Step one, deduces plan according to scheme and determines antagonism both sides' operation entity, operation and combat duty；Foundation is raised
The scheme drawn and device model data, under prescribed conditions, entity behavior are divided into physical movement, radiation source radiation, sensitivity
The simple behavior such as source detection, and set up a series of action sequences associated with each other, that there is hierarchical structure.Action sequence is to fight
Entity realizes the overall ordering behavior of its combat duty, is carried out the flow process of task.Right by the quick discovery of cluster data mining
Anti- activity, reduces computational complexity, simultaneously by the layered combination to action, divides the action stage, by control sequential
With condition conversion it is achieved that action modeling reusability.
Step 2, determines physical model so that it is determined that property parameters according to antagonism both sides' operation entity；Plan according to deducing
Require, the directional diagram attribute of reading or attribute of performance carry out antenna parameter configuration, then the enemy and we's status indicator carrying out operation entity；
Here antenna parameter is the antenna parameter of antagonism entity.It is from dress during entity instance that antenna parameter configures one kind
Parameter is read, one kind is reading measured pattern data from data file in standby attribute of performance.Its specific embodiment is,
For antagonism entity antenna, not every entity have actual measurement pattern data can be used as antenna property.Do not survey
During data, need to use attribute of performance, that is, the function describing mode of antenna replaces measured data.The advantage of function is calculating side
Just, also faster, but measured data is more accurate.
Step 3, sets up a series of action sequences associated with each other, having hierarchical structure according to combat duty and analyzes
Antagonistic Relationship；Operation is determined according to enemy and we's mark and action sequence, the scheme prepared according to operation and device model
Data, entity behavior is divided into physical movement, electromagnetic radiation and electromagnetism and receives；Scout class by resisting cluster analyses to detecting
Model and carry out countermeasure effectiveness resolving to anti-interference class model, then carries out situation data fields distribution core and action sequence and electricity
Magnetic frequency collision detection；According to Antagonistic Relationship to the goal constraint of restriction relation trigger condition, time-constrain, action constraint and people
Work intervention is analyzed detecting that electromagnetism frequency conflicts.According to time stepping method and action sequence, using radar range model, radar
The models such as counterreconnaissance distance model, terrain masking model, loss model, directional diagram factor model calculate and detect and antagonism
Reconnaissance capability, and check radiation source to cover sensitive source situation；Using radar electronic warfare disturbance suppression model, communication countermeasure disturbance suppression
The models such as model calculate disturbance suppression ability.Due to having carried out the analysis of antagonism entity cluster using cluster data mining algorithm,
Reduce model calculation complexity during sequence analysis, improve model computational efficiency.The data that model is calculated carries out efficiency classification,
Set up the geometric element of the data curve of field distribution and curved surface, give different colors and transparency to different geometric elements, directly
Using bottom opengl graphic interface, map that to Electromagnetic Situation display layer.
According to simulation time, step 4, judging whether emulation completes, if completing, terminating, if not completing, by during propulsion
Between sequence of events return to step 3.With simulation time stepping, carry out model calculating and situation redraws, and check physical model
Action sequence conflict and with frequency conflict；After accepting artificial intervention command, to entity behavior in next emulation stepping time
It is adjusted, realize the emulation in loop for the people.Situation data fields distribution core and action sequence with electromagnetism frequency collision detection are
Algorithm two work to be completed, are not to judge the standard that emulation terminates, deduce in scheme and just set simulation time in the works
Length, determining whether that emulation terminates here is to advance simulation step length so that whether simulation time reaches wanting of plan according to continuous
Ask, reach and just terminate, be not reaching to continue to propulsion emulation.
The action sequence of the present invention and data fields fast algorithm can set up simulated events time serieses, effectively reduce antagonism single
Simulation calculation amount between unit；Electromagnetic Situation can be carried out with data fields Fast Drawing simultaneously, improve simulation efficiency and visualization
Effect.
Achieved to batch electromagnetism by resisting cluster preprocessing, time and the drafting of sequence of events propulsion management data field
Sensitive source and the real-time behavior simulation radiating source device.Provide the user based on emulation data, be iterated formula fast solution
The Method means optimized and revised prepare efficiency it will be apparent that improve.
Significant to electromagnetic field skilled addressee from data fields angle expression Electromagnetic Situation.One is by color region
Distinguish complicated electromagnetic behavior；Two be by color during time stepping method, region, shape, size be continually changing represent dynamic
State antagonistic process；Three is that mode shows the performance information such as investigative range, interference region by zone boundary and transparent color be progressive etc.；
Four is the radiation source spectrum distribution situation by independent frequency domain window display base, it is to avoid the information that Electromagnetic Situation shows is excessively multiple
Miscellaneous and chaotic.
Comprehensive behavior sequence analysis, electronic countermeasure Professional Model quickly calculate, cluster data mining, frame data are cloned, number
According to method and technologies such as field distribution Fast Drawings, carry out the Fast Algorithm Design that Electromagnetic Situation deduces calculation and visualization, solve
Electromagnetic Situation display directly perceived and quick computational problem.
The above is the preferred embodiment of the present invention, certainly can not limit the right model of the present invention with this
Enclose it is noted that for those skilled in the art, under the premise without departing from the principles of the invention, also may be used
To make some improvement and to change, these improve and variation is also considered as protection scope of the present invention.
Claims (4)
1. a kind of action sequence with data fields fast algorithm it is characterised in that comprising the following steps:
Step one, deduces plan according to scheme and determines antagonism both sides' operation entity, operation and combat duty；
Step 2, determines physical model so that it is determined that property parameters according to antagonism both sides' operation entity；According to deduction requirements of plan,
The directional diagram attribute reading or attribute of performance carry out antenna parameter configuration, then the enemy and we's status indicator carrying out operation entity；
Step 3, sets up a series of action sequences associated with each other, having hierarchical structure according to combat duty and analyzes antagonism
Relation；Operation is determined according to enemy and we's mark and action sequence, the scheme prepared according to operation and device model data,
Entity behavior is divided into physical movement, electromagnetic radiation and electromagnetism receive；Scout class model by resisting cluster analyses to detecting
Carry out countermeasure effectiveness resolving with to anti-interference class model, then carry out situation data fields distribution core and action sequence is used with electromagnetism
Frequency collision detection；And manually done to the goal constraint of restriction relation trigger condition, time-constrain, action constraint according to Antagonistic Relationship
It is analyzed in advance detecting that electromagnetism frequency conflicts；
According to simulation time, step 4, judging whether emulation completes, if completing, terminating, if not completing, pass through propulsion time thing
Part sequence returns to step 3.
2. action sequence and data fields fast algorithm as claimed in claim 1 it is characterised in that: described divided according to action sequence
Analysis Antagonistic Relationship, is according to time stepping method and action sequence, using radar range model, radar ew reconnaissance apart from mould
The models such as type, terrain masking model, loss model, directional diagram factor model calculate and detect and counterreconnaissance ability, and examine
Test radiation source and cover sensitive source situation；Using model meters such as radar electronic warfare disturbance suppression model, communication countermeasure disturbance suppression models
Calculate disturbance suppression ability.
3. action sequence and data fields fast algorithm as claimed in claim 1 it is characterised in that: described by antagonism cluster point
Analysis is scouted class model and is carried out countermeasure effectiveness resolving to anti-interference class model to detection, is that the data that model is calculated carries out efficiency
Classification, sets up the geometric element of the data curve of field distribution and curved surface, gives different colors and transparency to different geometric elements,
Directly utilize bottom opengl graphic interface, map that to Electromagnetic Situation display layer.
4. action sequence and data fields fast algorithm as claimed in claim 1 it is characterised in that: in described step 4, if not
Complete, then after manual intervention order, next emulation stepping time to be adjusted to entity behavior, advances time thing
Part sequence returns to step 3.
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| CN201610711542.9A CN106339540A (en) | 2016-08-24 | 2016-08-24 | Fast action sequence and data field algorithm |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107748502A (en) * | 2017-11-02 | 2018-03-02 | 北京华如科技股份有限公司 | The passive spatial perception exchange method of entity in operation emulation based on discrete event |
| CN109683147A (en) * | 2019-02-25 | 2019-04-26 | 北京华力创通科技股份有限公司 | Real-time Generation, device and the electronic equipment of random pulse stream signal |
| CN110210115A (en) * | 2019-05-30 | 2019-09-06 | 北京华如科技股份有限公司 | The design of operation simulating scheme and operation method emulated based on decision point and branch |
| CN110298120A (en) * | 2019-07-02 | 2019-10-01 | 北京华如科技股份有限公司 | A kind of operation relationship methods of exhibiting and its storage medium |
| CN110749321A (en) * | 2019-10-22 | 2020-02-04 | 中国人民解放军海军潜艇学院 | Navigation drawing electronic auxiliary method, device and system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107748502A (en) * | 2017-11-02 | 2018-03-02 | 北京华如科技股份有限公司 | The passive spatial perception exchange method of entity in operation emulation based on discrete event |
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| CN109683147A (en) * | 2019-02-25 | 2019-04-26 | 北京华力创通科技股份有限公司 | Real-time Generation, device and the electronic equipment of random pulse stream signal |
| CN110210115A (en) * | 2019-05-30 | 2019-09-06 | 北京华如科技股份有限公司 | The design of operation simulating scheme and operation method emulated based on decision point and branch |
| CN110210115B (en) * | 2019-05-30 | 2023-01-31 | 北京华如科技股份有限公司 | Combat simulation scheme design and operation method based on decision point and branch simulation |
| CN110298120A (en) * | 2019-07-02 | 2019-10-01 | 北京华如科技股份有限公司 | A kind of operation relationship methods of exhibiting and its storage medium |
| CN110749321A (en) * | 2019-10-22 | 2020-02-04 | 中国人民解放军海军潜艇学院 | Navigation drawing electronic auxiliary method, device and system |
| CN110749321B (en) * | 2019-10-22 | 2021-05-04 | 中国人民解放军海军潜艇学院 | Navigation drawing electronic auxiliary method, device and system |
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