CN114063465A - Distributed countermeasure simulation system visual jitter elimination method and visual nodes - Google Patents
Distributed countermeasure simulation system visual jitter elimination method and visual nodes Download PDFInfo
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Abstract
The application belongs to the field of distributed interactive simulation systems, and particularly relates to a method for eliminating visual jitter of a distributed countermeasure simulation system and a visual node. The method comprises the following steps: the method comprises the following steps of firstly, continuously acquiring entity position data in a distributed countermeasure simulation system network, and locally storing the entity position data; step two, entity position prediction is carried out according to the locally stored entity position data to obtain entity position data in the next frame of visual picture; step three, before rendering the view picture of the next frame, judging whether entity position data obtained from the distributed countermeasure simulation system network is updated; if yes, rendering a next frame of visual picture according to the updated entity position data; if not, rendering the next frame of visual picture according to the predicted entity position data. The method and the device can enhance the real-time performance of the view simulation node data and solve the problem of view image jitter, and can be realized by optimizing a system software algorithm, so that the cost is low.
Description
Technical Field
The application belongs to the field of distributed interactive simulation systems, and particularly relates to a method for eliminating visual jitter of a distributed countermeasure simulation system and a visual node.
Background
The distributed interactive simulation uses a computer network as a support, and interconnects various relatively independent simulators dispersed in different regions to form a large-scale comprehensive virtual environment with the synergistic effect of multiple participants. In a distributed countermeasure simulation system, a phenomenon of image jitter of a view simulation node is often encountered, and the phenomenon is often caused by insufficient real-time performance of entity motion behavior data required for rendering a view image due to network delay, data loss or mismatching of real-time performance of synchronous calculation of other nodes and the like. In the distributed interactive simulation system, the real-time performance of data interaction among all nodes is always the key for realizing the smooth operation of the whole system.
In the prior distributed simulation system, the real-time performance of the system is generally improved by improving hardware, but with the increase of the number of simulation nodes and the amount of interactive data, the cost of the whole system is increased by times due to the fact that the hardware is continuously improved to ensure the real-time performance of the system, and the economy is very poor.
Accordingly, a technical solution is desired to overcome or at least alleviate at least one of the above-mentioned drawbacks of the prior art.
Disclosure of Invention
The application aims to provide a method for eliminating visual jitter of a distributed countermeasure simulation system and a visual node, so as to solve at least one problem in the prior art.
The technical scheme of the application is as follows:
a first aspect of the present application provides a method for eliminating visual jitter of a distributed countermeasure simulation system, including:
the method comprises the following steps of firstly, continuously acquiring entity position data in a distributed countermeasure simulation system network, and locally storing the entity position data;
step two, entity position prediction is carried out according to the locally stored entity position data to obtain entity position data in the next frame of visual picture;
step three, before rendering the view picture of the next frame, judging whether entity position data obtained from the distributed countermeasure simulation system network is updated;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
In at least one embodiment of the present application, in step two, an extrapolation algorithm is used for entity location prediction.
In at least one embodiment of the present application, in the second step, the performing entity location prediction according to the locally stored entity location data to obtain entity location data in a next frame of view picture includes:
setting a simulation step length T;
obtaining initial position coordinates (x) of an entity0,y0,z0) And an initial position vector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
Calculating the displacement vector of the entity at the moment
And velocity vector
Calculating to obtain the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
A second aspect of the present application provides a view node, comprising:
the system comprises an entity position data acquisition module, a data storage module and a data processing module, wherein the entity position data acquisition module is used for continuously acquiring entity position data in a distributed countermeasure simulation system network and locally storing the entity position data;
the entity position prediction module is used for carrying out entity position prediction according to locally stored entity position data to obtain entity position data in a next frame of visual picture;
the scene picture rendering module is used for judging whether entity position data obtained from the distributed countermeasure simulation system network is updated or not before rendering the next frame of scene picture;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
In at least one embodiment of the present application, the entity location prediction module employs an extrapolation algorithm to perform entity location prediction.
In at least one embodiment of the present application, the entity location prediction module includes:
the step length setting unit is used for setting a simulation step length T;
a position coordinate acquiring unit for acquiring initial position coordinates (x) of the entity0,y0,z0) And an initial position vector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
A first calculation module for calculating the displacement vector of the entity at the moment
And velocity vector
A second calculation module for calculating the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
The invention has at least the following beneficial technical effects:
the method for eliminating the visual jitter of the distributed countermeasure simulation system can enhance the real-time performance of the visual simulation node data and solve the problem of visual image jitter, can be realized by optimizing a system software algorithm, is low in cost, and can be popularized and applied in the similar distributed interactive simulation system.
Drawings
Fig. 1 is a flowchart of a method for eliminating visual jitter of a distributed countermeasure simulation system according to an embodiment of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
In the description of the present application, it is to be understood that the terms "center", "longitudinal", "lateral", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience in describing the present application and for simplifying the description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore should not be construed as limiting the scope of the present application.
The present application is described in further detail below with reference to fig. 1.
The first aspect of the application provides a method for eliminating visual jitter of a distributed countermeasure simulation system, which comprises the following steps:
the method comprises the following steps of firstly, continuously acquiring entity position data in a distributed countermeasure simulation system network, and locally storing the entity position data;
step two, entity position prediction is carried out according to the locally stored entity position data to obtain entity position data in the next frame of visual picture;
step three, before rendering the view picture of the next frame, judging whether entity position data obtained from the distributed countermeasure simulation system network is updated;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
The method for eliminating the visual jitter of the distributed countermeasure simulation system comprises the steps of firstly receiving subscribed entity position data from a network of the distributed countermeasure simulation system, locally and synchronously storing the subscribed entity position data, then predicting the entity position by adopting an extrapolation algorithm according to historical data of the locally stored entity position, judging whether the entity position data received from the network at the moment is updated or not before rendering the next frame of visual picture, and rendering the next frame of visual picture according to the network updating data if the entity position data received from the network at the moment is updated according to a judgment result; and if the entity position data transmitted by the network at the moment is not updated, using the entity position data predicted by the local historical position data at the next moment to render the next frame of visual picture.
In a preferred embodiment of the present application, the process of performing entity location prediction according to locally stored entity location data to obtain entity location data in a next frame of view picture includes:
setting a simulation step length T;
obtaining initial position coordinates (x) of an entity0,y0,z0) And an initial positionVector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
Calculating the displacement vector of the entity at the moment
And velocity vector
Calculating to obtain the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
Based on the above method for eliminating visual jitter of the distributed countermeasure simulation system, a second aspect of the present application provides a visual node, where the visual node includes:
the system comprises an entity position data acquisition module, a data storage module and a data processing module, wherein the entity position data acquisition module is used for continuously acquiring entity position data in a distributed countermeasure simulation system network and locally storing the entity position data;
the entity position prediction module is used for carrying out entity position prediction according to locally stored entity position data to obtain entity position data in a next frame of visual picture;
the scene picture rendering module is used for judging whether entity position data obtained from the distributed countermeasure simulation system network is updated or not before rendering the next frame of scene picture;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
In a preferred embodiment of the present application, in the entity location prediction module, an extrapolation algorithm is used for entity location prediction.
In a preferred embodiment of the present application, the entity location prediction module comprises:
the step length setting unit is used for setting a simulation step length T;
a position coordinate acquiring unit for acquiring initial position coordinates (x) of the entity0,y0,z0) And an initial position vector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
A first calculation module for calculating the displacement vector of the entity at the moment
And velocity vector
A second calculation module for calculating the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
The method for eliminating the visual jitter of the distributed countermeasure simulation system and the visual nodes can effectively solve the problem of visual image jitter caused by insufficient real-time performance of data in the simulation system, and improve the immersion of the visual simulation node images, and is low in cost and high in practicability. The method can be realized by optimizing a system software algorithm, is low in cost, and can be popularized and applied in the same type of distributed interactive simulation system.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A method for eliminating visual jitter of a distributed countermeasure simulation system is characterized by comprising the following steps:
the method comprises the following steps of firstly, continuously acquiring entity position data in a distributed countermeasure simulation system network, and locally storing the entity position data;
step two, entity position prediction is carried out according to the locally stored entity position data to obtain entity position data in the next frame of visual picture;
step three, before rendering the view picture of the next frame, judging whether entity position data obtained from the distributed countermeasure simulation system network is updated;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
2. The vision jitter elimination method of distributed countermeasure simulation system according to claim 1, wherein in the second step, an extrapolation algorithm is used for entity position prediction.
3. The method for eliminating visual jitter of a distributed countermeasure simulation system according to claim 2, wherein in the second step, the step of performing the entity location prediction according to the locally stored entity location data to obtain the entity location data in the next frame of the visual frame includes:
setting a simulation step length T;
obtaining initial position coordinates (x) of an entity0,y0,z0) And an initial position vector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
Calculating the displacement vector of the entity at the moment
And velocity vector
Calculating to obtain the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
4. A view node, comprising:
the system comprises an entity position data acquisition module, a data storage module and a data processing module, wherein the entity position data acquisition module is used for continuously acquiring entity position data in a distributed countermeasure simulation system network and locally storing the entity position data;
the entity position prediction module is used for carrying out entity position prediction according to locally stored entity position data to obtain entity position data in a next frame of visual picture;
the scene picture rendering module is used for judging whether entity position data obtained from the distributed countermeasure simulation system network is updated or not before rendering the next frame of scene picture;
if yes, rendering a next frame of visual picture according to the updated entity position data;
if not, rendering the next frame of visual picture according to the predicted entity position data.
5. The view node of claim 4, wherein the entity location prediction module uses an extrapolation algorithm to perform entity location prediction.
6. The view node of claim 5, wherein the entity location prediction module comprises:
the step length setting unit is used for setting a simulation step length T;
a position coordinate acquiring unit for acquiring initial position coordinates (x) of the entity0,y0,z0) And an initial position vector
Obtaining the position coordinates (x) of the entity after the time nT has elapsedi,yi,zi) And a position vector
A first calculation module for calculating the displacement vector of the entity at the moment
And velocity vector
A second calculation module for calculating the position vector of the next frame entity
That is, the position coordinate of the next frame of the entity is (x)i+1,yi+1,zi+1)。
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| CN110784299A (en) * | 2019-10-25 | 2020-02-11 | 北京东方瑞丰航空技术有限公司 | Low-delay multichannel visual and flight simulation synchronization method |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197647A (en) * | 2006-12-13 | 2008-06-11 | 四川川大智胜软件股份有限公司 | Multi-channel real-time three-dimensional vision rendering indication method |
| US20170163502A1 (en) * | 2015-12-04 | 2017-06-08 | CENX, Inc. | Classifier based graph rendering for visualization of a telecommunications network topology |
| CN109100723A (en) * | 2018-07-25 | 2018-12-28 | 南京信息工程大学 | Upper-level winds inversion method based on Doppler radar data |
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