CN118260955A - Satellite constellation-oriented simulation deduction system - Google Patents

Abstract

The invention provides a satellite constellation-oriented simulation deduction system, which comprises: based on the multi-class multidisciplinary requirement of OODA cyclic analysis satellite constellation simulation, a three-layer algorithm system architecture of a base layer, a functional layer and an application layer is built from bottom to top in a reuse-oriented manner according to a modularization principle, the requirements of fidelity of simulation are systematically, hierarchically and professionally met, and the cost of development and maintenance is reduced. By considering the characteristics of multiple programming languages and cross-operating systems of the distributed system and through the form of a RESTful service integrated algorithm dynamic library, the remote call based on the HTTP request is realized uniformly, the coupling degree of the system is low, and the subsequent maintenance and expansion are convenient. The invention designs a full-flow, full-element and full-dimension algorithm system architecture based on satellite constellation simulation application requirements, and provides a service method for remote call of a distributed system on the basis.

Description

Satellite constellation-oriented simulation deduction system

Technical Field

The invention relates to the technical field of simulation, in particular to a satellite constellation-oriented simulation deduction system, and more particularly relates to a satellite constellation-oriented simulation deduction professional system design and a service design thereof.

Background

With the expansion of human range of motion, the extraterrestrial space is becoming an important battle field for scientific exploration, technological innovation, industrial upgrading and even large country gaming. Satellite constellation is used as a key carrier for achieving the strategy, and research on the satellite constellation and application thereof is a core subject related to capacity construction and capacity generation of space service. As is well known, satellites have the characteristics of higher technical threshold, high development cost and severe test conditions, have a plurality of inconveniences in real world test, and have become a trend in digital world simulation test theory. The algorithm is used as a core resource of a simulation system in the aerospace field, is a key point for determining the balance between the simulation confidence level and the calculation efficiency, and therefore needs to systematically develop an algorithm system and an application method design thereof.

At present, the following problems are established in the simulation system algorithm for satellite constellation research and application:

1. The algorithm construction is "chimney" in forestation, and systematic thinking is lacking for the algorithm construction content. The complex simulation system comprises a plurality of software/modules, the problem of repeatedly manufacturing wheels is more likely to occur, and the consistency of the system is seriously affected by different algorithm precision. The development of the algorithm modules is carried out scattered instead of systematically, which is not in accordance with the system engineering requirements, but is not beneficial to the reuse and organization of resources.

2. Multiple caller requirements. The distributed simulation system has scattered software deployment, different development languages and different operating systems, and some unfriendly integration modes can solve the problems of version divergence and difficult deployment and maintenance.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide a satellite constellation-oriented simulation deduction system.

The invention provides a satellite constellation-oriented simulation deduction system, which comprises: an application layer, a function level base layer;

The application layer is divided setting based on OODA circulation;

The functional layer is arranged based on the understanding division of the combat space by the military theory;

the base layer is a partition setting for extracting common dependence of the functional layer and the application layer.

Preferably, the application layer includes: the system comprises an observation module, a judgment module, a decision module and an action module;

The observation module simulates satellite remote sensing, navigation positioning, environment detection and communication relay events, can simulate the remote sensing precision of satellites, and supports and develops precision chain analysis;

The judging module is used for judging the current situation on the basis of simulation true values and observation data;

The decision-making module is used for making a simulation of an action strategy process according to own situation and task requirements in reality; in the satellite constellation simulation scene, the decision module comprises a determined action rule, modeling of an action plan or a multi-objective optimization model;

The action module is an autonomous response process of the simulated satellite to the action strategy or the guide and regulation instruction; the method is applied to satellite constellation simulation, and an action module models constellation-level, single-star-level and subsystem-level behaviors and provides interfaces with consistent actual logic structures; the high-level behavior may be a combination of both peer and low-level.

Preferably, the observation module comprises: a visible light sensor sub-module, an active microwave sensor sub-module, and a passive microwave sensor sub-module;

The visible light sensor sub-module can generate a visible light image according to target size, target visible light simulation parameters, relative motion parameters, camera functional performance parameters, environmental effects, transmission links, background images and noise factors, and can support target detection, angle measurement and size estimation based on the images;

The active microwave sensor submodule can generate angle measurement, distance measurement and speed measurement error data of a target according to the target size, the target microwave reflection simulation parameters, the relative motion parameters, the sensor function performance parameters, the environmental effect and the noise;

The passive microwave sensor submodule can generate target signal characteristic parameters, angle measurement, distance measurement and measurement error data according to target electromagnetic signal parameters, relative motion parameters, sensor function performance parameters, environmental effects and noise.

Preferably, the judging module includes: a classification recognition sub-module, an event arbitration sub-module, and a collision detection sub-module;

The classifying and identifying sub-module judges the type of the target according to the characteristics of the predicted track of the target on the basis of the observed quantity of the motion parameters of the target;

the event judging sub-module is a model of event rules established according to simulation truth value data by taking a white square as a visual angle;

The collision detection submodule is a set of composite models based on the impact ball model, which are established by taking simulation true values or observation quantities of both red and blue as input, and output is the target collision degree and collision probability.

Preferably, the decision module comprises: the system comprises a control sub-module, a planning sub-module and a scheduling sub-module;

The control submodule is used for simulating a command link with people as a center and reflecting the processes of generating, transmitting, decomposing and feeding back task flows in the command link;

the planning submodule is a specific node, the input is a task target, and the output is a task decomposition or action scheme;

The scheduling sub-module solves the problems of conflict resolution and resource allocation of single star or satellite constellations in the process of carrying out tasks, and comprises priority, least switching and load balancing strategy combination.

Preferably, the action module includes: a track transfer sub-module, a region scanning sub-module, and a beam scheduling sub-module;

the orbit transfer submodule is based on an orbit dynamics equation of the spacecraft and supports multiple modes of speed increment, continuous thrust and pulse thrust;

the region scanning sub-module is used for modeling the behavior of the load in a region scanning mode, and comprises the directional adjustment of a load platform and the transmission of load generation data;

the beam scheduling sub-module is used for representing the change rule of the pointing direction of the interference beam under the TAS, TWS, STT working mode of the active microwave sensor.

Preferably, the function layer is a simulation of objective rules and regulations in the task space, and the simulation comprises the following steps: a physical domain, an information domain, and a decision domain;

The physical domain is a basic simulation physical rule, and comprises the following steps: space-time conversion, dynamics simulation, visibility simulation, reflection characteristic simulation, radiation characteristic simulation, link simulation, earth surface environment simulation, atmospheric environment simulation and space environment simulation;

The information domain is used for simulating the generation, processing and transmission of information and is used for supporting and reflecting the network communication, information arrangement and control processes based on an information system, including data processing, data fusion and information interaction;

The decision domain is a process of making decisions by human roles based on multivariate information in the simulation task process, and comprises a cognitive model, a behavior decision and a behavior control.

Preferably, the space-time conversion includes a temporal conversion and a spatial conversion;

the dynamics simulation comprises orbit dynamics, rigid body dynamics and attitude dynamics;

The visibility simulation is based on the visibility of the spatiotemporal relationship of the object and the observer;

the reflection characteristic simulation can input and calculate the reflection characteristic parameters of the target according to the geometric shape, the surface material, the radiation source parameters, the relative position relation between the target and the radiation source and the environmental factors of the target;

the radiation characteristic simulation can simulate the radiation characteristic of visible light and the characteristic of passive microwaves;

the link simulation can calculate link parameters and receiving end signal parameters according to the relative position and speed relation of the receiving end, the performance parameters of the receiving end, the channel parameters, the environmental factors and the transmission medium;

the surface environment simulation comprises land and ocean environment parameters for simulating the surface of the earth, including temperature, humidity, wind speed, atmospheric pressure, atmospheric density, cloud, rain, fog, haze and sea condition factors;

the space environment simulation comprises simulating a space radiation environment and a space natural celestial body;

The cognitive model takes thinking activities of people or groups as research objects, and simulates the process of people to recognize and infer based on mastered information in the task process;

The decision is a process for simulating a person to reach a decision or a task in a self-side state according to the collected information;

the action control is a process of simulating a person to formulate an action scheme according to a task target and a mastered situation.

Preferably, the base layer is an implementation of basic mathematical principles, and no rounding error is introduced, so that linear algebra, probability statistics, numerical analysis, complex function and discrete mathematics are provided for the functional layer and the application layer.

Preferably, the standardized service method based on RESTful style uses dynamic link library of RESTful service integration system to define standard RESTful API URL structure, defines standard interaction protocol of JSON format text based on HTTP POST method, realizes different processing classes to complete specific algorithm input analysis, interface calling and output package, and creates corresponding parallel processing instance according to algorithm identification of JSON text by factory function.

Compared with the prior art, the invention has the following beneficial effects:

1. The invention has definite division among layers of the layering system and between modules, supports progressive expansion, and can organically develop and manage the algorithm on the basis;

2. The layering and modularized system design comprehensively considers the requirements of the simulation system, can improve the reuse of the modules, reduces the coupling of the modules, and is convenient for carrying out confidence assessment;

3. The service method based on RESTful components can flexibly expand by creating parallel processing examples through a factory mode, can reduce the coupling property and the environment dependence of the system, supports rapid update deployment, and supports the combination of micro-service technology, load balancing technology and the like.

Drawings

Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:

fig. 1 is a schematic diagram of a simulation deduction system facing a satellite constellation.

Fig. 2 is a service flow diagram of RESTful components.

Detailed Description

The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.

Example 1

Aiming at the defects of a satellite constellation simulation system, the technical problem to be solved by the invention is that the construction range, the construction content and the construction mode of the constellation are systematically agreed, so that the organization and the updating are convenient; the method has the advantages of embodying the commercialization service, meeting the requirement of the distributed system call and being convenient to maintain and expand.

The invention provides a satellite constellation-oriented simulation deduction system, as shown in figures 1 to 2, comprising: an application layer, a functional layer, and a base layer;

According to different layers for solving the problems, the layers are an application layer, a functional layer and a basic layer from top to bottom in the longitudinal direction, the layers are dependent from top to bottom, each layer is transversely divided into different modules again according to different categories of application stages, professional fields and disciplines, the modules can be continuously subdivided according to requirements, and the modules are organized through a tree structure; and multi-layer nesting of namespaces is adopted in specific implementation.

On one hand, the application layer refers to the division design of OODA circulation by the systematic, hierarchical and specialized system architecture design of a simulation system facing satellite constellation research and application, the OODA circulation model is widely applied to the self-adaptive control describing various complex dynamic systems, and the research and application of the satellite constellation also accords with the OODA circulation model, wherein an application layer algorithm is divided into four modules of observation (Observe), judgment (Orientate), decision (Decide) and action (Act); the functional layer is designed based on the division of the knowledge of the application theory on the task space; the base layer extracts the division design of the public dependence of the functional layer and the application layer; on the other hand, the normalization service method based on RESTful style.

The observation algorithm is used for simulating events such as satellite remote sensing, navigation positioning, environment detection, communication relay and the like, the simulation granularity is a functional level in consideration of the constellation simulation requirement and the simulation efficiency, the simulation of the environmental effect and the noise is a parameter level, the measurement precision of equipment can be simulated, and the support can be used for carrying out precision chain analysis, including algorithms such as visible light imaging, active microwave detection, passive microwave detection and the like.

The visible light imaging algorithm can analyze load visibility according to factors such as target size, target optical characteristic simulation parameters, relative motion parameters, camera functional performance parameters, environmental effects, transmission links, background images, noise and the like, generate visible light images, and support target detection, angle measurement, size estimation and the like based on the images. The load-visible judging formula of the CCD camera is as follows:

where SNR is the camera signal-to-noise ratio, N _s is the number of signal electrons on a single pixel, N _p is the number of photon noise, N _d is the number of dark current noise electrons, and N _r is the number of electron noise.

The active microwave detection simulation algorithm can generate data such as a measurement angle, a distance measurement, a speed measurement error and the like of the target according to the size of the target, the simulation parameters of the electromagnetic reflection characteristics of the target, the relative motion parameters, the functional performance parameters of the sensor, the environmental effect, the noise and the like. When the visibility of the target is judged, whether the target is in the power range of the sensor is judged according to the sensor equation, the detection probability of the target is obtained by calculation according to the detection probability equation,

Where R _max is the furthest detection distance,For signal-to-noise ratio, P _d is the target detection probability, P _t is the peak power of the transmitter, G _t、G_r is the transmit antenna and receive antenna gain, respectively, λ is the operating wavelength, σ is the radar area, S _min is the minimum detectable signal, and P _s is the target signal power; p _c is clutter power; p _n is the noise power of the receiver; p _j is the transmission power of the jammer,As a complementary error function, P _fa is the false alarm probability.

The passive microwave simulation algorithm can generate data such as target signal characteristic parameters, angle measurement, distance measurement, measurement errors and the like according to target electromagnetic signal parameters, relative motion parameters, sensor function performance parameters, environmental effects, noise and the like. Similarly, the criteria for radio interception are as follows,

Where d is the transmission distance, f is the frequency, and P _rTH is the receiver sensitivity.

The judgment class algorithm refers to a process of judging the current situation on the basis of simulation true value and observation data; the construction process of the judgment type algorithm simplifies the signal processing, mainly comprises algorithms established on a probability model, such as target classification, event judgment, collision detection and the like.

The target classification algorithm judges the target category according to the target prediction track characteristic on the basis of the observed quantity of the target motion parameters, and the criterion is that the near-place height extrapolated according to the track is smaller than zero. The event arbitration algorithm takes a white square as a view angle, and builds a model of event rules according to simulation truth value data. The collision detection algorithm is a set of composite models based on an ellipsoid model, which are established by taking a simulation true value or a square observation value of both sides as algorithm input, and output is the target collision degree and collision probability.

The decision-making algorithm is a simulation for making an action strategy process according to own situation and task requirements in reality, and in a satellite constellation simulation scene, the decision-making algorithm is divided into a determined action rule, modeling of an action plan or a multi-objective optimization model, such as control, planning, scheduling and other algorithms.

The control algorithm is a simulation of an information link centered by people and reflects the processes of generating, transmitting, decomposing and feeding back task flows in the information link. The main body of the planning algorithm is a specific node, the input is a task target, and the output is a task decomposition or action scheme. The scheduling algorithm solves the problems of conflict resolution and resource allocation of single star or constellation when the task is carried out, and common means have strategy combinations of priority, least switching, load balancing and the like.

The action class algorithm simulates an autonomous response process of a satellite to an action strategy or a pilot adjustment instruction, is applied to satellite constellation simulation, models constellation-level, single-star-level and subsystem-level behaviors, provides an interface with consistent actual logic structure, and is a combination of equal-level and low-level algorithms; including algorithms such as track transfer, area scanning, beam scheduling, etc.

The orbit transfer algorithm is based on an orbit dynamics equation of the spacecraft and supports multiple modes of speed increment, continuous thrust and pulse thrust. The region scan algorithm is a modeling of the behavior of a load operating in a region scan mode, including pointing adjustments of the load platform and transfer of load-generating data. The beam scheduling refers to an algorithm for representing the pointing change rule of the interference beam under the working modes of TAS, TWS, STT and the like of the active microwave sensor.

The functional layer is based on the division design of the knowledge of the application theory on the task space, the functional layer algorithm positioning is the simulation of objective rules and regulations in the task space, the satellite constellation digital simulation efficiency is considered to reasonably simplify the process with complex calculation requirements on electromagnetic signal processing, finite elements, fields and the like, and the functional layer algorithm positioning is used as a component of the application layer algorithm to provide basic guarantee for scientificity and rationality of the functional layer algorithm, and is divided into a physical domain, an information domain and a decision domain.

The physical domain algorithm simulates basic physical rules, and the simulation precision is divided into an engineering level, a functional level and a parameter level from high to low, and comprises algorithms such as space-time conversion, dynamic simulation, visibility simulation, reflection characteristic simulation, radiation characteristic simulation, link simulation, earth surface environment simulation, atmospheric environment simulation, space environment simulation and the like.

The space-time conversion algorithm is divided into a time conversion algorithm and a space conversion algorithm, wherein the time conversion covers the mutual conversion of a plurality of time formats such as UTC, julian days, conciseness julian days, local time, product days, product seconds and the like, the space conversion covers the conversion of Cartesian coordinates, spherical coordinates, an inertial system, a ground-fixed system, an object motion system, an object body system and the like, the conversion of attitude parameters such as Euler angles, quaternions, a direction cosine matrix and the like, and the conversion of orbit parameters such as Keplerian flat roots, instant roots, two-row roots, position speeds, longitude and latitude heights and the like. The conversion formula of UTC time and julian day is as follows,

JD＝MJD+2400000.5。

The dynamics simulation comprises orbit dynamics, rigid body dynamics, attitude dynamics and other kinematic simulation algorithms, and the balance of calculation efficiency and simulation precision is considered, so that the dynamics simulation comprises various dynamics models of different particles, and comprises two calculation modes of analytic type and numerical type; orbit dynamics comprises models such as two-body orbit, J2, HPOP, SGP4 and the like, rigid body dynamics is divided into a simple model and a professional model, gesture dynamics is divided into a rigid body gesture dynamics equation and a simplified gesture kinematics equation considering second-order constraint, and other kinematics simulation comprises motion simulation of ground vehicles and vessels and motion simulation of movable parts. The two-body orbit dynamics equation of the earth spacecraft is that,

Wherein r is the earth vector of the spacecraft, and mu is the gravitational constant.

The visibility simulation algorithm refers to visibility based on space-time relation between a target and an observer, simulation granularity is engineering level, considered constraint mainly comprises detection distance constraint, detection angle constraint, relative motion relation constraint, star shielding constraint, illumination condition constraint, background condition constraint and the like, the input of the visibility simulation algorithm is epoch, position and speed parameters of the target and the observer, constraint conditions, and the output is visibility judgment result under the epoch or visible arc section information based on a prediction model; considering the situation that the scale of the target and the sensor is relatively large, a primary screening function is required to be provided to avoid a large amount of unnecessary calculation, a progressive screening process is established, and screening conditions are gradually tightened.

The reflection characteristic simulation algorithm can calculate the reflection characteristic parameters of the target according to the geometric shape of the target, the surface material, the radiation source parameters, the relative position relation between the target and the radiation source, the environmental factors and the like, the simulation granularity is a function level and a parameter level, the simulation data support is provided for the application layer observation algorithm, and the simulation data support is divided into visible light reflection, radio reflection, infrared reflection and the like, and the reflection transmission process is not involved; and providing a standard model and a low simulation model according to simulation scenes and application requirements, wherein the standard model establishes a complete mapping mechanism of the input and the output, and the low simulation model appropriately simplifies the input, the output and internal processing logic. The calculation formula of the visible light reflection illuminance of the space target is that,

Wherein E _s is the solar visible radiation illuminance at the spatial target, and E _diffusec is the earth reflected solar radiation visible radiation illuminance at the spatial target; l is the distance from the observation position to the space object, and S _j is the j-th surface component of the space object. And the included angle between the normal line of the surface micro element of the space target and the incident sunlight is alpha, the included angle between the normal line of the surface micro element of the space target and the observation sight is beta, and the material reflection coefficient of the jth surface component part of the space target is sigma _j.

The radiation characteristic simulation algorithm can simulate the infrared radiation characteristic, the visible light radiation characteristic, the electromagnetic signal characteristic and the like of a target, the simulation granularity is a function level and a parameter level, and provides simulation data support for an application layer observation algorithm, and the radiation transmission process is not involved; according to simulation scenes and application requirements, the simplified radiation characteristic simulation algorithm only performs numerical simulation under different states. The calculation formula of the target self-infrared radiation based on the Planck's law is that,

Where E _i is the spectral radiant force of a point i on the target outer wall surface to the hemispherical space, epsilon (λ) is the spectral emissivity of the target surface, c ₁、c₂ is the first and second radiation constants, λ is the wavelength, and T _i is the absolute temperature of the point i.

The link simulation algorithm can calculate link parameters and receiving end signal parameters, such as signal-to-noise ratio, time delay, link budget, receiving and transmitting power, according to the relative position and speed relation of the receiving end, the performance parameters of the receiving end, the channel parameters, the environmental factors, the transmission media and the like, the simulation granularity is engineering level, functional level and parameter level, and the simplified link simulation model can only simulate the available state of the link. The calculation formula of the link loss is as follows,

L＝L_p+A_g+A_r+A_c+A_s+A_d+L_el

Wherein L _p、A_g、A_r、A_c、A_s、A_d、L_el is free space transmission loss, atmospheric absorption loss, rainfall loss, cloud loss, snow loss, atmospheric refraction and scintillation loss respectively.

The earth surface environment simulation algorithm mainly simulates land and ocean environment parameters of the earth surface, including factors such as temperature, humidity, wind speed, atmospheric pressure, atmospheric density, cloud, rain, fog, haze, sea conditions and the like; due to the chaotic characteristic of the earth surface weather and the characteristics of satellite constellation simulation application requirements, the simulation granularity is of a functional level and a parameter level, and the earth surface weather can generate reasonable environment parameters so as to meet the input requirements of environment effect simulation models such as characteristics, observation and the like.

The space environment simulation algorithm mainly simulates a space radiation environment, a space natural celestial body and the like, the space radiation environment is simulated to consider high-energy particle radiation, the space natural celestial body is simulated to generate orbital number data and star map data of the inner planets of the system according to ephemeris, and simulation granularity is a function level and a parameter level.

The information domain algorithm simulates generation, processing and transmission of information, and is used for supporting and reflecting network communication, information reorganization and command control processes based on an information system, and comprises algorithms such as data processing, data fusion, information interaction and the like.

The data processing algorithm is a set of algorithms for processing information data at the information transmission node, and is applied to satellite constellations, such as an image processing algorithm for extracting targets, a filtering algorithm for suppressing detection noise, an algorithm for converting information into a format, and the like.

The data fusion algorithm is an algorithm for combining the multi-sensor information according to a certain rule to reduce interference and uncertainty in the information, and common means include a majority voting method, a Bayesian method, a neural network method and the like according to different implementation principles.

The information interaction simulation algorithm is a simulation of information transmission, management, sharing and other processes, and simulates the elements of an information transmission route, node processing logic, an information transmission process and the like; support the assessment of the capabilities of information reorganization speed, command decision speed, state monitoring and the like.

The cognitive domain simulation algorithm simulates a process of deciding by a person role in a task space based on multivariate information, and the cognitive combat capability is a key point for exerting equipment benefits and embodying use art in practice and comprises a cognitive model algorithm, a behavior decision algorithm and a behavior control algorithm.

The cognitive model algorithm takes thinking activities of people or groups as research objects, simulates the process of people to know and infer based on mastered information in a task space, has high modeling difficulty, is applied to constellation-level simulation, focuses on the information processing process and uncertainty thereof, and belongs to the cognitive model algorithm instead of the algorithm of people to conduct information mining and inference in intelligent application.

The behavior decision algorithm simulates the process that a person reaches a decision or task according to information and own side state; the action control algorithm simulates a process of a person to formulate an action scheme according to the task target and the mastered situation; the implementation mode of the decision algorithm is divided into two types, namely modeling the decision rule and realizing the decision rule through an intelligent algorithm.

The basic layer extracts the division design of the public dependence of the functional layer and the application layer, the basic layer algorithm positioning is realized on the basic mathematical principle, no rounding error is introduced, and calculation modules such as linear algebra, probability statistics, numerical analysis, complex transformation function, discrete mathematics and the like are provided for the functional layer and the application layer algorithm; wherein the linear algebraic class algorithm provides algorithms such as matrix operations, matrix analysis, linear equation solutions, etc.; the probability statistics algorithm comprises a statistics algorithm, a sampling algorithm, a probability theory algorithm, a fitting algorithm and the like; the numerical analysis algorithm comprises nonlinear equation solving, an integral algorithm, a differential algorithm, an interpolation algorithm and the like; the complex transformation function algorithm comprises a convolution algorithm, a Fourier transformation algorithm, a Laplacian transformation algorithm and the like; the discrete mathematical algorithm comprises a logical operation algorithm, a collection algorithm and the like.

The RESTful style-based standardized service method adopts a RESTful service integration algorithm system dynamic link library mode.

The normalized RESTful API URL structure is defined as "communication protocol + IP + port + service name".

Defining a standardized interaction protocol of JSON format text based on a POST method, realizing that different processing classes finish specific algorithm input analysis, interface calling and output package, and creating corresponding parallel processing examples according to algorithm identification of the JSON text through a factory function. The request content comprises algorithm input and algorithm names, the RESTful component service calls a corresponding algorithm interface to complete calculation according to the algorithm names, and the response content comprises algorithm output and calculation state identification. The computational state identification may include "success," "failure," "timeout," "exception," and the like.

The service framework comprises a processing base class, the processing base class comprises three pure virtual function interfaces of analysis, calculation and feedback, the analysis is responsible for analyzing JSON format algorithm input, the calculation is responsible for calling a specific algorithm interface, and the feedback is responsible for forming a JSON text from an algorithm calculation result and a calculation state identifier. When the algorithm is integrated, the processing base class is used as a parent class to derive, analysis, calculation and feedback interfaces are realized on the derived class, and the factory function creates corresponding parallel processing examples according to the algorithm identification of the JSON text. Under normal working conditions, a calling party sends a POST request to a contracted URL according to an algorithm interface protocol group (JSON) data packet, after a service receives the request, a corresponding calculation example is created through a factory function according to an algorithm identifier in an input JSON text, the calculation example calls an algorithm interface of a dynamic link library to complete calculation, a calculation result is sent out to be HTTP response in a JSON mode, and finally the calling party receives the calculation result.

Example 2

Example 2 is a preferred example of example 1

The invention provides a satellite constellation-oriented simulation deduction system, which comprises: dynamic link libraries and algorithms serve two modalities. The dynamic link library consists of algorithms under different namespaces, and the namespaces of the algorithms are nesting of layer names and module names of an algorithm system. The algorithm service creates corresponding process instances through factory model for RESTful components that integrate dynamic link libraries. The caller requests with the POST method, the URL can be 'http:// 192.168.5.103:8088/Argorithm', and the JSON format of the request content accords with the following structure:

the JSON format of the response content conforms to the following structure:

the development of the algorithm and the service comprises the following steps:

Step one, a set of algorithm library framework, RESTful service framework and corresponding development specifications are established.

And secondly, aiming at a new development task, combing the algorithm requirement of a simulation system for satellite constellation research and application, decomposing layer by layer from top to bottom, and defining the naming space to which the algorithm belongs.

And thirdly, developing reuse analysis based on the existing algorithm system construction foundation, clearly requiring new grinding and modification of the algorithm, and performing modification influence analysis on the modified algorithm. The development work plan is thus completed.

And step four, the development process finishes the development of a specific algorithm from bottom to top under the corresponding namespaces, realizes high cohesion through object-oriented programming, multiplexes the existing algorithm modules as much as possible in the algorithm development process, and adds necessary algorithm comments (including input, output, constraint, principle, algorithm dependence and the like).

And fifthly, completing algorithm development and exporting a dynamic link library. And integrating a dynamic link library on the RESTful service framework, defining a new processing class, and realizing the analysis, calculation and feedback methods of the class. A JSON format response template is provided that meets the specifications and the necessary interface specification.

Step six, the algorithm provides services to the caller in the network through the RESTful API.

Those skilled in the art will appreciate that the invention provides a system and its individual devices, modules, units, etc. that can be implemented entirely by logic programming of method steps, in addition to being implemented as pure computer readable program code, in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units for realizing various functions included in the system can also be regarded as structures in the hardware component; means, modules, and units for implementing the various functions may also be considered as either software modules for implementing the methods or structures within hardware components.

The foregoing describes specific embodiments of the present application. It is to be understood that the application is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the application. The embodiments of the application and the features of the embodiments may be combined with each other arbitrarily without conflict.

Claims (10)

1. A satellite constellation-oriented simulation deduction system, comprising: an application layer, a function level base layer;

The application layer is divided setting based on OODA circulation;

the functional layer is arranged based on the knowledge division of the task space by the application theory;

the base layer is a partition setting for extracting common dependence of the functional layer and the application layer.

2. The satellite constellation-oriented simulation deduction system of claim 1, wherein the application layer comprises: the system comprises an observation module, a judgment module, a decision module and an action module;

The observation module simulates satellite remote sensing, navigation positioning, environment detection and communication relay events, can simulate the measurement precision of satellites, and supports and develops precision chain analysis;

The judging module is used for judging the current situation on the basis of simulation true values and observation data;

The decision-making module is used for making a simulation of an action strategy process according to own situation and task requirements in reality; in the satellite constellation simulation scene, the decision module comprises a determined action rule, modeling of an action plan or a multi-objective optimization model;

The action module is an autonomous response process of the simulated satellite to the action strategy or the guide and regulation instruction; the method is applied to satellite constellation simulation, and an action module models constellation-level, single-star-level and subsystem-level behaviors and provides interfaces with consistent actual logic structures; the high-level behavior may be a combination of both peer and low-level.

3. The satellite constellation-oriented simulation deduction system of claim 2, wherein said observation module comprises: a visible light sensor sub-module, an active microwave sensor sub-module, and a passive microwave sensor sub-module;

the visible light sensor sub-module can generate an optical detection image according to target size, target optical characteristic simulation parameters, relative motion parameters, sensor functional performance parameters, environmental effects, transmission links, background images and noise factors, and can support target detection, angle measurement and size estimation based on the images;

The active microwave sensor submodule can generate angle measurement, distance measurement, speed measurement and measurement error data of a target according to the size of the target, the electromagnetic reflection characteristic simulation parameter of the target, the relative motion parameter, the functional performance parameter of the sensor, the environmental effect and the noise;

The passive microwave sensor submodule can generate target signal characteristic parameters, angle measurement, distance measurement and measurement error data according to target electromagnetic signal parameters, relative motion parameters, sensor function performance parameters, environmental effects and noise.

4. The satellite constellation-oriented simulation deduction system according to claim 2, wherein the judging module comprises: a target classification sub-module, an event arbitration sub-module, and a collision detection sub-module;

The target classification sub-module judges the target category according to the target prediction track characteristics on the basis of the observed quantity of the target motion parameters;

the event judging sub-module is a model of event rules established according to simulation truth value data by taking a white square as a visual angle;

The collision detection submodule is a set of composite models based on an ellipsoid model, which are established by taking simulation true values or observed values of two parties as input, and output as target collision degree and collision probability.

5. The satellite constellation-oriented simulation deduction system of claim 2, wherein said decision module comprises: the system comprises a control simulation sub-module, a planning sub-module and a scheduling sub-module;

The control simulation sub-module is used for simulating an information link with a human center and reflecting the processes of generating, transmitting, decomposing and feeding back task flows in the information link;

the planning submodule is a specific node, the input is a task target, and the output is a task decomposition or action scheme;

the scheduling sub-module solves the problems of conflict resolution and resource allocation of single star or constellation when the task is carried out, and comprises priority, least switching and load balancing strategy combination.

6. The satellite constellation-oriented simulation deduction system of claim 2, wherein said action module comprises: a track transfer sub-module, a region scanning sub-module, and a beam scheduling sub-module;

the orbit transfer submodule is based on an orbit dynamics equation of the spacecraft and supports multiple modes of speed increment, continuous thrust and pulse thrust;

the region scanning sub-module is used for modeling the behavior of the load in a region scanning mode, and comprises the directional adjustment of a load platform and the transmission of load generation data;

the beam scheduling sub-module is used for representing the change rule of the pointing direction of the interference beam under the TAS, TWS, STT working mode of the active microwave sensor.

7. The satellite constellation-oriented simulation deduction system according to claim 1, wherein the functional layer is a simulation of objective rules and procedures in a task space, comprising: a physical domain, an information domain, and a decision domain;

The physical domain is a basic simulation physical rule, and comprises the following steps: space-time conversion, dynamics simulation, visibility simulation, reflection characteristic simulation, radiation characteristic simulation, link simulation, earth surface environment simulation, atmospheric environment simulation and space environment simulation;

The information domain is used for simulating the generation, processing and transmission of information and is used for supporting and reflecting the network communication, information reorganization and command control process based on an information system, and the process comprises data processing, data fusion and information interaction;

the decision domain is a process for making decisions based on multivariate information by simulating roles of people in a task, and comprises a cognitive model, a behavior decision and action control.

8. The satellite constellation-oriented simulation deduction system of claim 7, wherein said space-time conversion includes a time conversion and a space conversion;

the dynamics simulation comprises orbit dynamics, rigid body dynamics and attitude dynamics;

The visibility simulation is based on the visibility of the spatiotemporal relationship of the object and the observer;

the reflection characteristic simulation can input and calculate the reflection characteristic parameters of the target according to the geometric shape, the surface material, the radiation source parameters, the relative position relation between the target and the radiation source and the environmental factors of the target;

the radiation characteristic simulation can simulate the infrared radiation characteristic, the visible light radiation characteristic and the radio radiation characteristic of a target;

the link simulation can calculate link parameters and receiving end signal parameters according to the relative position and speed relation of the receiving end, the performance parameters of the receiving end, the channel parameters, the environmental factors and the transmission medium;

the surface environment simulation comprises land and ocean environment parameters for simulating the surface of the earth, including temperature, humidity, wind speed, atmospheric pressure, atmospheric density, cloud, rain, fog, haze and sea condition factors;

the space environment simulation comprises simulating a space radiation environment and a space natural celestial body;

the cognitive model takes thinking activities of people or groups as research objects, and simulates the process of people to recognize and infer based on mastered information in a task space;

The behavior decision is a process for simulating a person to reach a decision or task according to information and own side state;

the action control is a process of simulating a person to formulate an action scheme according to a task target and a mastered situation.

9. The satellite constellation-oriented simulation deduction system according to claim 1, wherein the base layer is an implementation of basic mathematical principles, no rounding errors are introduced, and linear algebra, probability statistics, numerical analysis, complex functions, discrete math are provided for the functional layer and the application layer.

10. The satellite constellation-oriented simulation deduction system according to claim 1, wherein the RESTful-style-based standardized service method uses a dynamic link library of a RESTful service integration system to define a canonical RESTful API URL structure, defines a canonical interaction protocol of a JSON format text based on an HTTP POST method, realizes different processing classes to complete specific algorithm input analysis, interface calling and output package, and creates corresponding parallel processing examples according to algorithm identification of the JSON text through a factory function.