CN106250663A - A kind of Architecture simulation method based on quantum electronics description - Google Patents

A kind of Architecture simulation method based on quantum electronics description Download PDF

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CN106250663A
CN106250663A CN201610839678.8A CN201610839678A CN106250663A CN 106250663 A CN106250663 A CN 106250663A CN 201610839678 A CN201610839678 A CN 201610839678A CN 106250663 A CN106250663 A CN 106250663A
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attribute
cognitive
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CN106250663B (en
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王晓路
张恒
张冶
贾长伟
彭健
郭大庆
池元成
褚厚斌
王立伟
潘健
宁学
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China Academy of Launch Vehicle Technology CALT
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Abstract

The present invention relates to a kind of Architecture simulation method based on quantum electronics description, the method includes defining phantom, phantom is carried out time stepping method calculating, and phantom is carried out state renewal, the present invention utilizes quantum mechanical ideas to redefine factoid basis, the basic calculating module defining phantom reads rule, form a set of support QSS to accelerate and the emulation mode of multiple-limb predictive simulation, realize time series emulation parallel running, parallel space time theory can be applied to carry out multiple-limb simulation analysis, multiple branch is created in simulation process, analyze various probabilities comprehensively, this emulation mode has possessed the ability of multiple-limb emulation, can be with any time as starting point, to the different results of decision, the impact of random event emulates.

Description

A kind of Architecture simulation method based on quantum electronics description
Technical field
The present invention relates to a kind of Architecture simulation method based on quantum electronics description, belong to simulation technical field.
Background technology
In the simulation process of Weapon Equipment System antagonism, need to consider integrated form, the body of federal style under Information Condition It is level network-centric warfare feature, needs on the basis of complication system carries out modeling clear, accurate, flexible, confrontation between systems to be entered Row emulation.In existing Simulation & evaluation system, need analogue system function is carried out further specification and division, it is provided that have The assessment preparation of iterative relation, operation, the specification flow process of analysis and synthesis composition.Current phantom and system specifications stop At application level, do not stand in definition analogue system on the level that physics describes substantially, there is certain incompleteness, cause A series of application problems, such as: Simulation Application system the thought of applied dynamics differential can not carry out time slice emulation, It is difficult to multiple-limb emulation;Record incomplete for emulation data;There is logical error in the service logic of phantom, reads Take or make use of irrational input data etc..
Summary of the invention
It is an object of the invention to overcome the drawbacks described above of prior art, it is provided that a kind of system based on quantum electronics description Emulation mode, this emulation mode has possessed the ability of multiple-limb emulation, can be with any time as starting point, to different decision-making knots Really, the impact of random event emulate, greatly reduce the capacity requirement of emulation data, significantly improve calculating speed, simultaneously can Effectively to reduce cheating and the mistake that phantom occurs during environment calculates.Fundamentally provide unified emulation The means of environment.
The above-mentioned purpose of the present invention is mainly achieved by following technical solution:
A kind of Architecture simulation method based on quantum electronics description, comprises the steps:
(1), definition phantom, i.e. phantom attribute in simulation space is defined, including objective attribute With subjective attribute, described objective attribute is the description to phantom physical state, and described subjective attribute is in phantom The description of portion's logic;
(2), to phantom carry out time stepping method calculating, and phantom is carried out state renewal, specifically include as follows Step:
(2.1), phantom is initialized, specifically include the hardware resource that phantom operation is relied on and carry out Configuration, the type of phantom is defined, generates in phantom application program phantom variable data structure, Between configuration phantom mutually distribution subscription relation required for read status information, phantom example is initialized and to The state of phantom composes initial value;
(2.2), to phantom carrying out time stepping method calculating, described time stepping method calculates process and includes successively: state is divided Prop up switching, Effect under external electric field calculates, sensor Sn calculates, controller Cn calculates and executor's calculating;
(2.3) result of calculation of sensor, controller and executor is carried out state renewal to phantom.
In above-mentioned Architecture simulation method based on quantum electronics description, in step (1), phantom physical state includes Position, attitude, speed, inertia, quality, angular velocity, ROE state, flight operating mode, fuel quantity, ammunition, infrared target characteristic and Electromagnetic target characteristic.
In above-mentioned Architecture simulation method based on quantum electronics description, in step (1), phantom internal logic includes Event flag position and all properties of Cognitive Spaces, described event flag position include result of detection, estimation result, conjecture result, It is apprised of result, drives order, combat order and information transfer;Described Cognitive Spaces refers to that phantom is for simulated world The attribute space that understanding is formed, Cognitive Spaces information directly can not be used by the example beyond this phantom example.
In above-mentioned Architecture simulation method based on quantum electronics description, Cognitive Spaces includes by cognitive simulation object Attribute and the attribute by cognitive simulated world, wherein included by cognitive simulation object by the attribute of cognitive simulation object By the attribute of cognitive simulated world, objective status and the Cognitive Spaces by cognitive simulation object, included that the outfield of pre-bookbinding is joined Number and the physical principle preset.
In above-mentioned Architecture simulation method based on quantum electronics description, step carries out the time to phantom in (2.2) The concrete grammar advanced comprises the steps:
(2.2.1), carry out branches of states switching, be specially the operating mode flag bit according to phantom and enter the calculating of regulation Branch, described operating mode flag bit is a variable in phantom state vector;
(2.2.2), in the calculating branch of described regulation, carry out Effect under external electric field calculating, use the mode of field to calculate, The most specific state has well-determined value in specific field, specific as follows:
F=f (AT);
Wherein: F is the Effect under external electric field suffered by phantom example, comprise stress, injure probability and detection probability;ATFor T The phantom objective status attribute in moment;F () is the calculating function in outfield;
(2.2.3) the Effect under external electric field F calculated in the calculating branch, specified in step (2.2.1) and step (2.2.2) Under, carry out sensor calculating, controller calculating and executor successively and calculate;
(2.2.4), according to the result of calculation of sensor, controller and executor in step (2.2.3), phantom is entered Row state updates, and completes a time stepping method and calculates, returns step (2.2.1), carries out the time stepping method in next cycle and calculates.
In above-mentioned Architecture simulation method based on quantum electronics description, in step (2.2.3), sensor calculates, i.e. to spy Survey the calculating of result On, specific as follows:
On=Sn (T1, T2...TM)
Wherein: Sn () is the calculating function of sensor n, T1, T2...TMIt is respectively the 1st, the 2nd ... m-th quilt The state of detected object, On is the result of detection of sensor Sn, and its form is simulated events.
In above-mentioned Architecture simulation method based on quantum electronics description, step (2.2.3) middle controller calculates, will T Cognitive Spaces R in momentTIt is updated to Cognitive Spaces R in T+1 momentT+1, during time stepping method each time, controller according to Permission Levels are settled accounts successively, start to calculate from the controller C1 that authority is minimum, until calculating the controller Cn that authority is the highest Till, concrete formula is as follows:
RT+1=Cn (Cn-1 (... C2 (C1 (RT, M1T、M2T....MnT), M1T、M2T....MnT), M1T、 M2T....MnT), M1T、M2T....MnT)
Wherein: RTFor the Cognitive Spaces in T moment, RT+1For the Cognitive Spaces in T+1 moment, Cn () is that controller logic calculates Function, M1T、M2T....MnTThe whole subjective attribute events received for T moment phantom example, n is nonnegative integer.
In above-mentioned Architecture simulation method based on quantum electronics description, in step (2.2.3), executor calculates, and i.e. emulates The issue of the subjective attribute event that the renewal of model objective status attribute and phantom produce, specifically includes following steps:
(2.2.3.1), resolve according to objective status attribute and the Cognitive Spaces value of phantom, phantom At the state value of time stepping method impact point each time, specific as follows:
AT+1=Tick (AT,RT+1)
Wherein: RT+1For the Cognitive Spaces in T+1 moment, ATFor the phantom objective status attribute in T moment, AT+1For T+1 The phantom objective status attribute in moment, Tick () is the resolving function of executor;
(2.2.3.2) according to the phantom objective status attribute A in T+1 momentT+1Field produced by phantom is carried out Update;
(2.2.3.3), according to value R of the Cognitive Spaces in T+1 momentT+1, issue phantom this event progradation The subjective attribute event of middle generation.
The present invention compared with prior art has the advantages that
(1), the present invention utilizes quantum mechanical ideas to redefine factoid basis, it is stipulated that the basic meter of phantom Calculate module and read rule, form a set of support QSS and accelerate and the emulation mode of multiple-limb predictive simulation, it is achieved time series emulates Parallel running, can apply parallel space time theory to carry out multiple-limb simulation analysis, creates multiple branch, comprehensively in simulation process Analyzing various probability, this emulation mode has possessed the ability of multiple-limb emulation, can determine difference with any time as starting point Plan result, the impact of random event emulate.
(2), the data record of emulation mode of the present invention reach the most complete degree, therefore its data record is complete , the playback of analogue system can carry out segmentation, in each segmentation no longer according to the random event of emulation and decision-making event Playback of data but re-start emulation.This characteristic can greatly reduce the capacity requirement of emulation data.
(3), emulation mode of the present invention calculates executor each time and during emulation playback, can apply QSS side Method realizes parallelization and processes, and significantly improves calculating speed.
(4), emulation mode strict regulations of the present invention outfield (environment) calculation of effect pattern, can effectively reduce emulation mould The cheating of type appearance during environment calculates and mistake, fundamentally provide the means of unified simulated environment.
(5), the strict regulations of the present invention reading authorities of sensor, specification sensor Simulation process;The strictest rule Determine the operation logic of controller so that phantom can apply the controller model of complexity.
Accompanying drawing explanation
Fig. 1 is that in phantom of the present invention, objective attribute describes schematic diagram;
Fig. 2 is that in phantom of the present invention, subjective attribute describes schematic diagram, and wherein Fig. 2 a is that subjective attribute event description shows It is intended to;Fig. 2 b is that Cognitive Spaces describes schematic diagram.
Fig. 3 is emulation mode process schematic of the present invention.
Detailed description of the invention
With specific embodiment the present invention done further detailed description below in conjunction with the accompanying drawings:
Present invention Architecture simulation based on quantum electronics description method, utilizes state vector to describe Simulation Application system each The state in individual moment, the process prescription simulation time utilizing state to shift advances.The combing of the system attribute type of model, definition Objective attribute and supervisor's attribute.Define the basic procedure of model application, it is determined that externally magnetic field effect calculates, sensor calculates, The basic steps such as controller calculating, executor's calculating, it is stipulated that each step limits for the read-write of state.Construct a trocar Complete descriptive system to System-of-systems Combat Simulation.The basic logic relation real based on model and cyberspace scenario can be realized Dynamically generate distribution subscription configuration, it is possible to use QSS emulation mode carries out emulating final states and calculates, it is achieved time series emulation is parallel Run, parallel space time theory can be applied to carry out multiple-limb simulation analysis, simulation process creates multiple branch, analyzes comprehensively Various probabilities.
In a time dependent Simulation Application system, represent the state of each moment analogue system by state. The simulated world state vector in the T moment comprises the attribute value in the T moment of each phantom.
The attribute of phantom includes two classes:
One class is the description (objective attribute) of physical state to model own, is a kind of objective information, its all values Feasible zone is referred to as the real space.The physical state of model itself includes: the attributes such as position, speed, attitude, weight, carried charge.Visitor See attribute and meet requirement orthogonal, complete.It is objective that the physical quantity of the multiple model direct interactions of description such as stress is not belonging to model Attribute, its effect is calculated by field effect and realizes.The information in outfield is safeguarded by emulation platform is unified.
If Fig. 1 is that in phantom of the present invention, objective attribute describes schematic diagram, phantom own physics shape as seen from the figure State includes position, attitude, speed, inertia, quality, angular velocity, ROE state, flight operating mode, fuel quantity, ammunition, infrared target Characteristic and electromagnetic target characteristic.
The another kind of description (subjective attribute) being divided into model internal logic, is the subjective information of a kind of model, and it owns The feasible zone of value is referred to as Cognitive Spaces.Model internal logic information includes all genus of event flag position and Cognitive Spaces Property.Cognitive Spaces refers to the attribute space that phantom is formed for the understanding of simulated world.Cognitive Spaces information can not be by Example beyond this example directly uses.
Being illustrated in figure 2 subjective attribute in phantom of the present invention and describe schematic diagram, wherein Fig. 2 a is subjective attribute event Schematic diagram is described;Fig. 2 b is that Cognitive Spaces describes schematic diagram, as seen from the figure event flag position include result of detection, estimation result, Guess result, be apprised of result, driving order, combat order and information transfer;Cognitive Spaces refers to that phantom is for emulation The attribute space that the understanding in the world is formed, Cognitive Spaces information directly can not be transported by the example beyond this phantom example With.
Described Cognitive Spaces includes the attribute by cognitive simulation object and the attribute by cognitive simulated world, wherein by The attribute of cognitive simulation object includes the objective status whole by cognitive simulation object and recognizing by cognitive simulation object Know space, included and the outer field parameters bound in advance and the physical principle of presetting by the attribute of cognitive simulated world.
It is illustrated in figure 3 emulation mode process schematic of the present invention, present invention Architecture simulation based on quantum electronics description Method specifically includes following steps:
(1), definition phantom, i.e. phantom attribute in simulation space is carried out complete definition, including visitor Seeing attribute and subjective attribute, described objective attribute is the description of physical state to phantom own, and described subjective attribute is right The description of phantom internal logic.
(2), to phantom carrying out time stepping method calculating, described calculating is carried out in the way of state transfer, and to emulation mould Type carries out state renewal, and concrete grammar is as follows:
(2.1), phantom is initialized, specifically include the hardware resource that phantom operation is relied on and carry out Configuration, the type of phantom is defined, generates in phantom application program phantom variable data structure, Between configuration phantom mutually distribution subscription relation required for read status information, phantom example is initialized and to The state of phantom composes initial value;
(2.2), phantom being carried out time stepping method calculating, time stepping method is a cyclic process, each logical time Calculate once during propelling.According to branches of states switching, Effect under external electric field calculates, sensor Sn calculates (n is natural number), controller Cn Calculate (n is natural number), the permanent order of executor's calculating performs.
Concrete grammar comprises the steps:
(2.2.1), first carry out branches of states switching, be specially the operating mode flag bit according to phantom and enter regulation Calculating branch, described operating mode flag bit is a variable in phantom state vector;
(2.2.2), in the calculating branch of described regulation, carry out Effect under external electric field calculating, use the mode of field to calculate, The most specific state has well-determined value in specific field, and specific formula for calculation is as follows:
F=f (AT);
Wherein: wherein: F is the Effect under external electric field suffered by phantom example, comprise stress, injure probability and detection probability; ATPhantom objective status attribute for the T moment;F () is the calculating function in outfield, and such as gravitational field or electric field express function.
Effect under external electric field calculates process and resolves all Physical interactions that model is subject to, and uses the mode of field to calculate, i.e. special Fixed state has well-determined value in specific field.In simulation process, gravity, aerodynamic effects, the physics such as injure Interacting all uses this mode to realize.All of phantom can use same set of external field environment to calculate function library, it is achieved The unification of environmental model in Simulation Application system.
(2.2.3) the Effect under external electric field F calculated in the calculating branch, specified in step (2.2.1) and step (2.2.2) Under, carry out sensor calculating, controller calculating and executor successively and calculate;
(2.2.3.1), wherein sensor calculate, i.e. the calculating to result of detection On, concrete formula is as follows:
On=Sn (T1, T2...TM)
Wherein: Sn () is the calculating function of sensor n, T1, T2...TMIt is respectively the 1st, the 2nd ... m-th quilt The state of detected object, On is the result of detection of sensor Sn, and its form is simulated events.
Sensor calculating is the sensor detection process for simulated world of phantom, and this is uniquely to subscribe to it The computing unit of his model objective attribute information.Each phantom can be equipped with n sensor.At time stepping method each time During calculate successively.
(2.2.3.2), controller calculate, will Cognitive Spaces R in T momentTIt is updated to Cognitive Spaces R in T+1 momentT+1, During time stepping method each time, controller is settled accounts successively according to Permission Levels, starts to calculate from the C1 that authority is minimum, Until calculating the controller Cn that authority is the highest, concrete formula is as follows:
RT+1=Cn (Cn-1 (... C2 (C1 (RT, M1T、M2T....MnT), M1T、M2T....MnT), M1T、 M2T....MnT), M1T、M2T....MnT)
Wherein: RTFor the Cognitive Spaces in T moment, RT+1For the Cognitive Spaces in T+1 moment, Cn () is that controller logic calculates Function, M1T、M2T....MnTThe whole subjective attribute events received for this phantom example of T moment, n is nonnegative integer.
During time stepping method each time, controller is settled accounts successively according to Permission Levels, from the C1 that authority is minimum Start to perform, until having performed the controller Cn that authority is the highest.During the Ci of each of which level calculates, it is required for examining Consider this moment whole relevant subjective attribute event MnT, update Cognitive Spaces R simultaneouslyT.During the Ci+1 of next level calculates Use Cognitive Spaces R updated for last layer machine CiT, remaining relevant subjective attribute event M1T、M2T....MnTConstant.
Controller calculates the subjective characteristic to model and emulates, and processes the event information of model, builds and safeguard model Cognitive Spaces.Controller calculates and the objective attribute of any model cannot be written and read operation.At time stepping method each time During, controller is settled accounts successively according to Permission Levels, starts to perform from the C1 that authority is minimum, until having performed authority Till high controller Cn.
(2.2.3.3), the master that the renewal of executor's calculating, i.e. phantom objective status attribute and phantom produce See the issue of attribute event, specifically include following steps:
(2.2.3.3.1), resolve according to objective status attribute and the Cognitive Spaces value of phantom, computer sim-ulation mould Type is at the state value of time stepping method impact point each time, and concrete formula is as follows:
AT+1=Tick (AT,RT+1)
Wherein: RT+1For the Cognitive Spaces in T+1 moment, ATFor the phantom objective status attribute in T moment, AT+1For T+1 The phantom objective status attribute in moment, Tick () is the resolving function of executor, such as kinetics integration.
(2.2.3.3.2), according to the phantom objective status attribute A in T+1 momentT+1To field produced by phantom It is updated;
(2.2.3.3.3), according to value R of the Cognitive Spaces in T+1 momentT+1, issue phantom and be advanced over this event The subjective attribute event produced in journey.
(2.2.4), according to the result of calculation of sensor, controller and executor in step (2.2.3), phantom is entered Row state updates, and completes a time stepping method and calculates, returns step (2.2.1), carries out the time stepping method in next cycle and calculates.
Embodiment 1
Being described as a example by an area-defense system confronting simulation application system, this system comprises infrared guidance air defense Guided missile and attack operational aircraft two class phantom.
The Architecture simulation system based on quantum mechanics thought that the application present invention provides, implements step as follows:
Application model definitional language, the states model of definition native system, the objective attribute of native system comprises the work of air defence missile Condition flag bit, position, speed, attitude, the target property of operational aircraft, operating mode flag bit, position, speed, attitude;Native system Supervisor's attribute includes MISSILE LAUNCHING instruction, the guidanceing command of the target information of guided missile detection, guided missile.
Write two class phantoms according to the flow process of Fig. 3, design a specific experiment sample according to scenario, this sample Initial state information comprises the value of the whole variablees described by above-mentioned state.Setting initial time as 0 second, emulation end time is 100 seconds, Simulation step length 1 second.
Two model programs are respectively started operation, represent a guided missile example and an exemplary aircraft.
Two model programs carry out hardware platform initialization, set hardware configuration information;
Two model programs are instantiated as aircraft class and guided missile class respectively according to scenario;
Two model programs generate model object respectively;
Guided missile example subscribes to the position of exemplary aircraft, speed, attitude and target property information.Exemplary aircraft without sensor, Do not subscribe to external information.
Model instance initializes, and composes initial value to according to scenario information the state of two model instances.
Simulation time starts to advance, and from the beginning of 0 second, guided missile operating mode is standby, and aircraft operating mode is cruise.Guided missile is in standby work Under condition, sensor carries out observability sentence according to position, attitude and target property information and the position of self, the attitude information of aircraft Disconnected;If visibility judge is true, then output detection event, comprises ID and the positional information of target;If visibility judge is Vacation, controller is failure to actuate, and executor is failure to actuate.
30 seconds, aircraft entered guided missile detection scope, guided missile sensor output detection event;STT missile device is according to detection thing Part sets up object module in Cognitive Spaces, and the subsequent time operating mode in Cognitive Spaces is set to solution of fire control state;Perform Device arranges according to the subsequent time operating mode in Cognitive Spaces and operating mode flag bit is set to solution of fire control state.
Within 31 seconds, guided missile model enters solution of fire control branches of states, and this branch calculates without sensor;Controller enters fire control solution Calculation state, calculates launch data, is stored in Cognitive Spaces;It is set to the subsequent time operating mode of Cognitive Spaces after completing to calculate launch Flight;Operating mode is set to launch flight by executor according to arranging of Cognitive Spaces, calculates subsequent time position according to launch data Put velocity gesture.
50 seconds guided missiles fly aircraft vicinity according to launch data, and executor is according to the setting of launch data in Cognitive Spaces Operating mode is switched to blast, updates and injure field data table.Injuring field data table is a three-dimensional probability function, each What oneself present position inquired about by phantom when time stepping method each time injures field value, enters according to injuring probability if not being 0 Row probabilistic simulation, decides whether to be set to operating mode destroy according to simulation result.
A result of calculation of injuring of 51 seconds aircrafts is true, and operating mode is arranged to destroy.
The above, the detailed description of the invention that only present invention is optimal, but protection scope of the present invention is not limited thereto, Any those familiar with the art in the technical scope that the invention discloses, the change that can readily occur in or replacement, All should contain within protection scope of the present invention.
The content not being described in detail in description of the invention belongs to the known technology of professional and technical personnel in the field.

Claims (8)

1. an Architecture simulation method based on quantum electronics description, it is characterised in that comprise the steps:
(1), definition phantom, i.e. phantom attribute in simulation space is defined, including objective attribute and master Seeing attribute, described objective attribute is the description to phantom physical state, and described subjective attribute is for patrol phantom inside The description collected;
(2), to phantom carry out time stepping method calculating, and phantom carried out state renewal, specifically include following steps:
(2.1), phantom is initialized, specifically include the hardware resource that phantom operation is relied on and join Put, the type of phantom is defined, phantom application program generates the data structure of phantom variable, joins Put between phantom the distribution subscription relation required for mutual read status information, phantom example initialized and to imitative The state of true mode composes initial value;
(2.2), to phantom carrying out time stepping method calculating, described time stepping method calculates process and includes successively: branches of states is cut Change, Effect under external electric field calculates, sensor Sn calculates, controller Cn calculates and executor calculates;
(2.3) result of calculation of sensor, controller and executor is carried out state renewal to phantom.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 1, it is characterised in that: described step Suddenly in (1) phantom physical state include position, attitude, speed, inertia, quality, angular velocity, ROE state, flight operating mode, Fuel quantity, ammunition, infrared target characteristic and electromagnetic target characteristic.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 1, it is characterised in that: described step Suddenly in (1), phantom internal logic includes that all properties of event flag position and Cognitive Spaces, described event flag position include Result of detection, estimation result, conjecture result, it is apprised of result, drives order, combat order and information transfer;Described cognitive empty Between refer to the attribute space that phantom is formed for the understanding of simulated world, Cognitive Spaces information can not be by this phantom Example beyond example directly uses.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 3, it is characterised in that recognize described in: Know that space includes the attribute by cognitive simulation object and the attribute by cognitive simulated world, wherein by cognitive simulation object Attribute include the objective status by cognitive simulation object and the Cognitive Spaces by cognitive simulation object, by cognitive emulation The attribute in the world includes the outer field parameters of pre-bookbinding and default physical principle.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 1, it is characterised in that: described step The concrete grammar that phantom carries out in (2.2) time stepping method suddenly comprises the steps:
(2.2.1), carrying out branches of states switching, the calculating being specially the entrance regulation of the operating mode flag bit according to phantom divides , described operating mode flag bit is a variable in phantom state vector;
(2.2.2), in the calculating branch of described regulation, carry out Effect under external electric field calculating, use the mode of field to calculate, i.e. special Fixed state has well-determined value in specific field, specific as follows:
F=f (AT);
Wherein: F is the Effect under external electric field suffered by phantom example, comprise stress, injure probability and detection probability;ATFor the T moment Phantom objective status attribute;F () is the calculating function in outfield;
(2.2.3), the Effect under external electric field F calculated in the calculating branch of regulation and step (2.2.2) in the step (2.2.1) it Under, carry out sensor calculating, controller calculating and executor successively and calculate;
(2.2.4), according to the result of calculation of sensor, controller and executor in step (2.2.3), phantom is carried out shape State updates, and completes a time stepping method and calculates, returns step (2.2.1), carries out the time stepping method in next cycle and calculates.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 5, it is characterised in that: described step Suddenly in (2.2.3), sensor calculates, i.e. the calculating to result of detection On is specific as follows:
On=Sn (T1, T2…TM)
Wherein: Sn () is the calculating function of sensor n, T1, T2…TMIt is respectively the 1st, the 2nd ... m-th inspected object State, On is the result of detection of sensor Sn, and its form is simulated events.
A kind of Architecture simulation method based on quantum electronics description the most according to claim 5, it is characterised in that: described step Suddenly (2.2.3) middle controller calculates, will Cognitive Spaces R in T momentTIt is updated to Cognitive Spaces R in T+1 momentT+1, each During secondary time stepping method, controller is settled accounts successively according to Permission Levels, starts to calculate from the controller C1 that authority is minimum, Until calculating the controller Cn that authority is the highest, concrete formula is as follows:
RT+1=Cn (Cn-1 (... C2 (C1 (RT, M1T、M2T….MnT), M1T、M2T….MnT), M1T、M2T….MnT), M1T、 M2T….MnT)
Wherein: RTFor the Cognitive Spaces in T moment, RT+1For the Cognitive Spaces in T+1 moment, Cn () is that controller logic calculates function, M1T、M2T….MnTThe whole subjective attribute events received for T moment phantom example, n is nonnegative integer.
8. according to a kind of based on quantum electronics description the Architecture simulation method described in claim 5 or 6, it is characterised in that: institute State renewal and the subjectivity of phantom generation of executor's calculating, i.e. phantom objective status attribute in step (2.2.3) The issue of attribute event, specifically includes following steps:
(2.2.3.1), resolving according to objective status attribute and the Cognitive Spaces value of phantom, phantom is often The state value of time stepping method impact point, specific as follows:
AT+1=Tick (AT,RT+1)
Wherein: RT+1For the Cognitive Spaces in T+1 moment, ATFor the phantom objective status attribute in T moment, AT+1For the T+1 moment Phantom objective status attribute, Tick () is the resolving function of executor;
(2.2.3.2) according to the phantom objective status attribute A in T+1 momentT+1Field produced by phantom is carried out more Newly;
(2.2.3.3), according to value R of the Cognitive Spaces in T+1 momentT+1, issue phantom and produce in this event progradation Raw subjective attribute event.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107729696A (en) * 2017-11-21 2018-02-23 中国运载火箭技术研究院 It is a kind of to be injured based on the LVC for injuring field or interference field or interference simulation method and system
CN110362258A (en) * 2019-07-19 2019-10-22 航天科工网络信息发展有限公司 A kind of interactive cooperation scenario system implementation method
CN113468713A (en) * 2020-03-31 2021-10-01 顺丰科技有限公司 Service simulation method and device, computer equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070129922A1 (en) * 2005-12-01 2007-06-07 Electronics And Telecommunications Research Institute Satellite simulation system using component-based satellite modeling
CN103514321A (en) * 2013-08-12 2014-01-15 北京理工大学 General federal member applied to HLA distributed simulation method
CN103593516A (en) * 2013-10-30 2014-02-19 中国运载火箭技术研究院 Combat system modeling and simulation system
CN105812367A (en) * 2016-03-15 2016-07-27 浙江神州量子网络科技有限公司 Authentication system and authentication method of network access device in quantum network

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070129922A1 (en) * 2005-12-01 2007-06-07 Electronics And Telecommunications Research Institute Satellite simulation system using component-based satellite modeling
CN103514321A (en) * 2013-08-12 2014-01-15 北京理工大学 General federal member applied to HLA distributed simulation method
CN103593516A (en) * 2013-10-30 2014-02-19 中国运载火箭技术研究院 Combat system modeling and simulation system
CN105812367A (en) * 2016-03-15 2016-07-27 浙江神州量子网络科技有限公司 Authentication system and authentication method of network access device in quantum network

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107729696A (en) * 2017-11-21 2018-02-23 中国运载火箭技术研究院 It is a kind of to be injured based on the LVC for injuring field or interference field or interference simulation method and system
CN107729696B (en) * 2017-11-21 2021-03-26 中国运载火箭技术研究院 LVC damage or interference simulation method and system based on damage field or interference field
CN110362258A (en) * 2019-07-19 2019-10-22 航天科工网络信息发展有限公司 A kind of interactive cooperation scenario system implementation method
CN110362258B (en) * 2019-07-19 2021-05-25 航天科工网络信息发展有限公司 Method for realizing interactive collaborative scenario system
CN113468713A (en) * 2020-03-31 2021-10-01 顺丰科技有限公司 Service simulation method and device, computer equipment and storage medium

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