CN112541280A - Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test - Google Patents
Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test Download PDFInfo
- Publication number
- CN112541280A CN112541280A CN202011584994.8A CN202011584994A CN112541280A CN 112541280 A CN112541280 A CN 112541280A CN 202011584994 A CN202011584994 A CN 202011584994A CN 112541280 A CN112541280 A CN 112541280A
- Authority
- CN
- China
- Prior art keywords
- simulation
- data
- local
- master control
- subsystem
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 172
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012360 testing method Methods 0.000 title claims abstract description 30
- 238000013213 extrapolation Methods 0.000 claims abstract description 18
- 238000006243 chemical reaction Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 238000004891 communication Methods 0.000 claims description 23
- 230000008569 process Effects 0.000 claims description 17
- 230000002452 interceptive effect Effects 0.000 claims description 14
- 230000003993 interaction Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 7
- 239000013078 crystal Substances 0.000 claims description 4
- 230000000737 periodic effect Effects 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 2
- 230000010354 integration Effects 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 14
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 235000019580 granularity Nutrition 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/04—Generating or distributing clock signals or signals derived directly therefrom
- G06F1/12—Synchronisation of different clock signals provided by a plurality of clock generators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/20—Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a proxy system and a method for a multi-level, multi-granularity and cross-domain combined simulation test, which are connected between a master control end and a local simulation subsystem, wherein the proxy system comprises: a time management module: providing a time signal, and performing time alignment among the local simulation subsystem, the master control end and other simulation subsystems; a DR extrapolation module: according to the data timestamp, maintaining the spatial consistency between the local simulation subsystem and other simulation subsystems; the data analysis and conversion module: and the time management module and the DR extrapolation module are matched to complete the analysis and the conversion of different data protocols. The invention provides a high-efficiency and high-expansibility simulation agent system, which provides support for integration of various heterogeneous simulation resources in multi-level/multi-granularity/cross-domain joint simulation.
Description
Technical Field
The invention relates to the technical field of simulation, in particular to a proxy system and a method suitable for multi-level/multi-granularity/cross-domain combined simulation test.
Background
The use of any weapon must take into account the use of other weapon systems, given the current information war. Therefore, weapon professional support in different fields can be involved in the development of the joint simulation process. Meanwhile, the cross-field and cross-region test resources are often established independent systems without considering the joint test mode, so that the joint design efficiency is low and the design period is long. Therefore, how to carry out adaptive transformation on the original system under the condition of ensuring the completeness of the system to the maximum and realizing the quick interconnection and intercommunication of the heterogeneous system and the joint test system is the design direction and the use requirement of joint simulation.
Aiming at the problems of various weapons, cross-speciality, cross-regionality, cross-simulation hierarchy and the like in the system joint simulation, the agency technology is beneficial to intensively controlling the access authority of the external environment to the inside of the system, and the influence of different simulation subsystems to the inside of the proxied system resources is prevented to the greatest extent. The simulation agent system realizes the isolation of specific implementation details inside system resources and the interoperation with other simulation subsystems.
Because different simulation resources in the joint simulation need to be deployed in different simulation nodes and are influenced by timing drift of a clock source inside the nodes, simulation time of each resource in the simulation process is slightly different, and space-time consistency of the joint simulation is damaged. Meanwhile, the difference of the simulation resource step length and the real-time requirement can restrict the unified time service method.
In addition, the agent system needs to interact data with the joint simulation support environment on one hand and interact with simulation resources on the other hand. In general, the support environment and the emulation resources are two different protocol interfaces, which destroy the consistency of the data structure in the proxy system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a proxy system and a method for a multi-level, multi-granularity and cross-domain joint simulation test.
According to the agent system of the multi-level, multi-granularity and cross-domain combined simulation test provided by the invention, the agent system is connected between a master control end and a local simulation subsystem, and comprises:
a time management module: providing a time signal, and performing time alignment among the local simulation subsystem, the master control end and other simulation subsystems;
a DR extrapolation module: according to the data timestamp, maintaining the spatial consistency between the local simulation subsystem and other simulation subsystems;
the data analysis and conversion module: and the time management module and the DR extrapolation module are matched to complete the analysis and the conversion of different data protocols.
Preferably, the time management module includes:
the GPS/BD satellite time server receives the transmitted large-beat time signal, achieves the clock synchronization among different simulation agents by a unified time service method,
by adopting a timing frequency division method, the periodic characteristics of a local computer crystal oscillator are utilized to cut a large-beat time signal received from a GPS/BD satellite time server into a small-beat time signal required by the current proxy system, and proxy software and a local simulation subsystem are driven to work according to the small-beat time signal.
Preferably, the data parsing and converting module:
comparing whether the time signal and the data timestamp are the same by using interactive data of an internal entity given by a local simulation subsystem, and if the time signal and the data timestamp are the same, directly analyzing, converting, storing and waiting for release of the interactive data; if not, resolving the space consistency of the data by using a DR extrapolation module, analyzing, converting, storing and waiting for release of the interactive data;
and comparing whether the time signal is the same as the data timestamp by using interactive data of the external entity given by other simulation subsystems, if so, directly analyzing, converting and storing the time signal and the data timestamp, and then sending the time signal to the simulation subsystems, and if not, processing the time signal by using a DR extrapolation module and then sending the time signal to the simulation subsystems.
Preferably, the simulation system further comprises a communication interface module for communication between the local simulation subsystem and the master control end and between the local simulation subsystem and other simulation subsystems.
Preferably, the simulation system further comprises a real-time monitoring module, and in the joint simulation process, the real-time monitoring module monitors the operation states of the local simulation subsystem and other simulation subsystems.
Preferably, whether the local simulation subsystem and other simulation subsystems work normally or not is judged by receiving heartbeat information of the time management module, and the result is fed back to the master control end.
Preferably, the system also comprises a log recording module which is used for recording and displaying the command and state interaction information of the master control end and the agent system and the transmitted information of the local simulation subsystem and other simulation subsystems in an interface output mode in real time.
According to the agent method for the multilayer, multi-granularity and cross-domain combined simulation test, which is provided by the invention, the agent system for the multilayer, multi-granularity and cross-domain combined simulation test is adopted to execute the initialization process and/or the agent process.
Preferably, the initialization procedure includes:
the local simulation subsystem sends local database information to the master control end, and the master control end configures a test according to the local database information and sends a simulation command to the local simulation subsystem through the proxy system;
the local simulation subsystem feeds back corresponding state information to the master control end through the proxy system, and the master control end judges whether abnormality exists according to the state information;
and under the condition of no abnormity, the master control end sends an initialization command to the local simulation subsystem through the proxy system, and the local simulation subsystem feeds back the initialization command to the master control end through the proxy system after finishing initialization.
Preferably, the proxy process includes:
the master control end sends a simulation command to the agent system, and the agent system analyzes and converts the simulation command and data from other simulation subsystems and sends the simulation command and the data to the local simulation subsystem;
after the local simulation subsystem processes the data, the feedback information and the data to be published are sent to the agent system;
and the proxy system converts the format of the data to be published and sends the data to the outside.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a high-efficiency and high-expansibility simulation agent system, which provides support for integration of various heterogeneous simulation resources in multi-level/multi-granularity/cross-domain joint simulation.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic diagram of the operation of the present invention;
FIG. 2 is an initialization flow diagram of the present invention;
FIG. 3 is a flow chart of the agent of the present invention.
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 invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, the present invention provides a working schematic diagram of joint simulation agent software, which is applied to a multi-level/multi-granularity/cross-domain heterogeneous joint simulation supporting environment with a large number of weapon types and quantities, and strong cross-specialty, cross-regionality and cross-simulation hierarchy, and can solve the problems of communication, heterogeneity and time resolution in joint simulation, and improve the integration efficiency and simulation accuracy of joint simulation. The method specifically comprises the following steps: the communication middleware interface module provides support for the interaction of the joint simulation data; the data conversion module is used for data analysis and format conversion; the DR extrapolation module ensures the consistency of simulation resource time and data with different time granularities; the time management module is used for time synchronization and frequency division of different simulation resources; the log recording module is used for displaying and recording important information such as commands and state interaction; the database module is used for providing management of scenario, data and the like; the real-time state monitoring module monitors the running states of the simulation system and the agent in the whole combined simulation process. And the scenario analyzing module is used for analyzing scenario files sent by the master controller and deconstructing initialization information required by the node simulation resource system.
A time management module:
because different simulation resources in the joint simulation need to be deployed in different simulation nodes and are influenced by timing drift of a clock source inside the nodes, simulation time of each resource in the simulation process is slightly different, and space-time consistency of the joint simulation is damaged. Meanwhile, the difference of the simulation resource step length and the real-time requirement can restrict the unified time service method.
The time management module is mainly responsible for time alignment of the simulation subsystem, other subsystems and the master control end, maintains time-space consistency among the agents, and meets the time synchronization and time service requirements of the agent system. Firstly, a time management module in the agent software is unified and timed by a GPS/BD satellite time server, receives a transmitted large-beat signal pulse, and achieves clock synchronization among different simulation agents through a unified timing method. Then, the time management module adopts a timing frequency division method, and utilizes the periodic characteristic of a local computer crystal oscillator to divide the large-beat time signal received from the time server into the small-beat time (simulation step length) required by the current agent system, and the small-beat time is sent to other modules as the time signal in the simulation agent system, so that the agent software and the simulation resource are driven to work according to the time sequence.
The data analysis and conversion module:
the agent system needs to interact data with the joint simulation supporting environment on one hand and interact with simulation resources on the other hand. In general, the support environment and the emulation resources are two different protocol interfaces, which destroy the consistency of the data structure in the proxy system.
The data analysis and conversion module is used as a bridge of two protocol architectures, solves the time service problem caused by data conversion by matching with a time signal of the time management module, solves the problem of unification of data and time stamp by using the DR extrapolation module, and completes analysis and conversion of different data protocols by combining the data processing function of the data analysis and conversion module.
Firstly, a data analysis and conversion module receives interactive data such as basic information, state information, component information and the like of an internal entity given by simulation resources by using a heterogeneous system interface in a communication module, compares whether a time signal (from a time management module) and a data timestamp are the same, and directly releases a communication middleware in a data storage waiting communication module if the time signal and the data timestamp are the same; and if the data are not the same, the DR extrapolation module is used for solving the space consistency of the data, and then the data are stored and wait for the communication middleware in the communication module to release. On the contrary, the data analyzing and converting module subscribes interactive data such as basic information, state information, component information, control commands and the like of an external entity sent by a master control end or other agent software by using communication middleware in the communication module, compares whether a time signal and a data timestamp are the same, directly analyzes, converts and sends the same to the simulation resource if the time signal and the data timestamp are the same, and sends the same to the simulation resource after processing the data by using the DR extrapolation module if the time signal and the data timestamp are not the same.
A DR extrapolation processing module: the method is mainly used for maintaining the spatial consistency of the entity states of the simulation resources. Each simulation node not only stores a high-order dynamic model for accurately describing the state of a simulation entity of the node, but also stores a low-order DR model for state recursion, and secondly, simulation node agent software capable of interacting with the node also has the DR model, and can recur the position information state of the simulation entity in real time synchronously with the node under the action of a synchronous signal. During the process that the system generates interactive data and needs to transmit the interactive data through the proxy, the entity state information needs to pass through the DR extrapolation processing module before being published, and the entity state information also needs to pass through the DR extrapolation processing module after being subscribed.
A communication interface module: the module is responsible for communication between agent software of the local simulation system and a master control end and other agent ends, and can provide support for top-layer communication of the agent software by packaging interfaces of the DDS network middleware. The data information received by the module comprises a simulation control command transmitted by the master control end and operation data information and other interaction information transmitted by other agent software. The data sent by the module mainly comprises subsystem state feedback information and system running information sent to the master control end, and state interaction information with other subsystems.
A real-time monitoring module: and monitoring the running states of the simulation system and the agent in the whole joint simulation process. And judging whether the agent works normally or not by receiving heartbeat information of the time management module, and feeding back the detection conditions of the simulation system and the agent to the master control to wait for further processing.
A log recording module: the system is responsible for recording and displaying important information such as command and state interaction information of the master control end and the agent end, the transmitted subsystem state information and the like in real time.
As shown in FIG. 1, the invention considers the communication problem of agent software in distributed simulation, and the system comprises: at least four communication modes, wherein: the top communication is realized by adopting DDS communication middleware service, and a unified interactive data protocol is adopted for communication; the bottom layer communication can provide modes of shared memory, reflective memory, UDP, TCP and the like to transmit control information and data information to the simulation resource according to different requirements.
As shown in FIG. 1, the invention provides reliable guarantee for shielding the heterogeneity of simulation resources. The invention adopts the mapping conversion technology of the communication protocol to shield the heterogeneity of the simulation resources, and changes the original system as little as possible, so that the simulation resources can be integrated into a joint test environment only by providing a data interface, a control interface and carrying out certain transformation on the aspect of a propulsion mechanism.
As shown in fig. 1, for different simulation resources with different requirements on scheduling time, joint simulation requires agents to keep the system pace and processing data consistent with other systems, and there is no error of logic operation in the time dimension, so as to ensure consistency and correctness of the joint simulation process and result. The agent software considers that the computer crystal oscillator frequencies in the distributed joint simulation nodes are slightly different, if the simulation system is operated for a long time, the time consistency of simulation resources can be damaged to a certain degree by error accumulation, and the time management module is matched with the GPS/BD time server to carry out time synchronization calibration.
Further, the agent software considers that the simulation time granularities of different resources are different, and the fast system agent can perform DR extrapolation on data transmitted by the slow system agent so as to ensure the time consistency of data interaction.
As shown in fig. 2, prior to simulation testing, the main task of the agent is to put the various configurations of the agent and subsystems in a ready state before the test begins. Specifically, firstly, the agent needs to send the local database information of the simulation subsystem to the master controller, so that the master controller can conveniently obtain necessary information in advance to select the subsystem participating in the simulation test. And then, the master control finishes the selection and specific parameter configuration of each subsystem participating in the test, and all commands and data of the whole simulation test are defined in advance in the step. Before the master control sends the configuration information, the master control needs to determine whether each simulation subsystem can work normally and is on line, so that a detection command is sent, and the waiting subsystem feeds back the information to the master control through an agent. After receiving the normal commands of each subsystem, the master controller sends initialization commands, sends configuration files to each agent, and the agents analyze and specifically configure the configuration files.
As shown in fig. 3, the master controller can start the operation of the simulation test after determining that all the subsystems are in the ready state. In this stage, the agent mainly works to continuously maintain the data interaction between the subsystem and the outside world. Specifically, on one hand, the agent ensures that the simulation state information of the proxied subsystem, such as some real-time simulation data of the subsystem, can be sent out in a correct format; on the other hand, the agent also needs to ensure that the subsystem can correctly receive the control command of the master control and the interactive data from other subsystems in time. In addition, the agent is also responsible for sending the feedback information of the subsystem to the master control command to the master control.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. An agent system for multi-level, multi-granularity and cross-domain combined simulation test is characterized in that the agent system is connected between a master control end and a local simulation subsystem, and comprises:
a time management module: providing a time signal, and performing time alignment among the local simulation subsystem, the master control end and other simulation subsystems;
a DR extrapolation module: according to the data timestamp, maintaining the spatial consistency between the local simulation subsystem and other simulation subsystems;
the data analysis and conversion module: and the time management module and the DR extrapolation module are matched to complete the analysis and the conversion of different data protocols.
2. The multi-level, multi-granularity, cross-domain joint simulation testing agent system of claim 1, wherein the time management module comprises:
the GPS/BD satellite time server receives the transmitted large-beat time signal, achieves the clock synchronization among different simulation agents by a unified time service method,
by adopting a timing frequency division method, the periodic characteristics of a local computer crystal oscillator are utilized to cut a large-beat time signal received from a GPS/BD satellite time server into a small-beat time signal required by the current proxy system, and proxy software and a local simulation subsystem are driven to work according to the small-beat time signal.
3. The multi-level, multi-granularity, cross-domain joint simulation testing agent system of claim 1, wherein the data parsing and conversion module:
comparing whether the time signal and the data timestamp are the same by using interactive data of an internal entity given by a local simulation subsystem, and if the time signal and the data timestamp are the same, directly analyzing, converting, storing and waiting for release of the interactive data; if not, resolving the space consistency of the data by using a DR extrapolation module, analyzing, converting, storing and waiting for release of the interactive data;
and comparing whether the time signal is the same as the data timestamp by using interactive data of the external entity given by other simulation subsystems, if so, directly analyzing, converting and storing the time signal and the data timestamp, and then sending the time signal to the simulation subsystems, and if not, processing the time signal by using a DR extrapolation module and then sending the time signal to the simulation subsystems.
4. The agent system for multi-level, multi-granularity and cross-domain combined simulation test as claimed in claim 1, further comprising a communication interface module for communication between the local simulation subsystem and the master control end and other simulation subsystems.
5. The agent system of multi-level, multi-granularity, cross-domain co-simulation test as claimed in claim 1, further comprising a real-time monitoring module for monitoring the operation status of the local simulation subsystem and other simulation subsystems during the co-simulation process.
6. The agent system of multi-level, multi-granularity and cross-domain combined simulation test as claimed in claim 5, wherein the heartbeat information of the time management module is received to determine whether the local simulation subsystem and other simulation subsystems work normally, and the result is fed back to the master control terminal.
7. The agent system of multi-level, multi-granularity and cross-domain combined simulation test as claimed in claim 1, further comprising a log recording module for recording and displaying the command and status interaction information of the master control terminal and the agent system and the transmitted information of the local simulation subsystem and other simulation subsystems in real time.
8. A proxy method for multi-level, multi-granularity, cross-domain joint simulation test, characterized in that the proxy system for multi-level, multi-granularity, cross-domain joint simulation test according to any one of claims 1 to 7 is used to execute the initialization process and/or proxy process.
9. The proxy method for multi-level, multi-granularity, cross-domain co-simulation testing according to claim 8, wherein the initialization procedure comprises:
the local simulation subsystem sends local database information to the master control end, and the master control end configures a test according to the local database information and sends a simulation command to the local simulation subsystem through the proxy system;
the local simulation subsystem feeds back corresponding state information to the master control end through the proxy system, and the master control end judges whether abnormality exists according to the state information;
and under the condition of no abnormity, the master control end sends an initialization command to the local simulation subsystem through the proxy system, and the local simulation subsystem feeds back the initialization command to the master control end through the proxy system after finishing initialization.
10. The method of claim 8, wherein the agent process comprises:
the master control end sends a simulation command to the agent system, and the agent system analyzes and converts the simulation command and data from other simulation subsystems and sends the simulation command and the data to the local simulation subsystem;
after the local simulation subsystem processes the data, the feedback information and the data to be published are sent to the agent system;
and the proxy system converts the format of the data to be published and sends the data to the outside.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011584994.8A CN112541280A (en) | 2020-12-28 | 2020-12-28 | Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011584994.8A CN112541280A (en) | 2020-12-28 | 2020-12-28 | Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112541280A true CN112541280A (en) | 2021-03-23 |
Family
ID=75017871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011584994.8A Pending CN112541280A (en) | 2020-12-28 | 2020-12-28 | Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112541280A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116011257A (en) * | 2023-03-07 | 2023-04-25 | 北京创奇视界科技有限公司 | Flow simulation method and device for multi-level task |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948228A (en) * | 2019-02-27 | 2019-06-28 | 中国舰船研究设计中心 | A kind of confronting simulation and Effectiveness Evaluation System based on equipment parametrization |
| CN111400895A (en) * | 2020-03-12 | 2020-07-10 | 上海机电工程研究所 | Multi-level and multi-granularity cross-domain joint simulation event scheduling method and system |
-
2020
- 2020-12-28 CN CN202011584994.8A patent/CN112541280A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948228A (en) * | 2019-02-27 | 2019-06-28 | 中国舰船研究设计中心 | A kind of confronting simulation and Effectiveness Evaluation System based on equipment parametrization |
| CN111400895A (en) * | 2020-03-12 | 2020-07-10 | 上海机电工程研究所 | Multi-level and multi-granularity cross-domain joint simulation event scheduling method and system |
Non-Patent Citations (3)
| Title |
|---|
| 杨志义等: "基于CORBA的空战分布仿真系统设计与实现", 《西北工业大学学报》 * |
| 王鹏: "分层异构联合仿真的时间管理问题研究", 《系统仿真技术及其应用》 * |
| 邱晓刚等: "《基于HLA的分布仿真环境设计》", 28 February 2016 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116011257A (en) * | 2023-03-07 | 2023-04-25 | 北京创奇视界科技有限公司 | Flow simulation method and device for multi-level task |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP0899659B1 (en) | An apparatus and method for simulating multiple nodes on a single machine | |
| US7657789B1 (en) | Multi-machine testing system and method for testing software | |
| CN113221318B (en) | DDS-based system-level simulation test environment construction method | |
| IL223484A (en) | Method for configuring a distributed avionics control system | |
| WO2019019864A1 (en) | Communication system, method and apparatus for embedded self-service terminal | |
| CN103701664A (en) | Method for testing runtime of equipment and testing server | |
| CN111813671A (en) | IMA software simulation test system | |
| CN108804313A (en) | A kind of method, apparatus and server of remote debugging program | |
| CN111970230A (en) | Industrial field protocol automatic analysis method and system based on cloud identification | |
| CN112541280A (en) | Agent system and method for multi-level, multi-granularity and cross-domain combined simulation test | |
| CN113051040A (en) | Remote distributed joint simulation method in different places | |
| CN110058900B (en) | Data transmission service system based on pluggable component framework | |
| CN113556387A (en) | Edge gateway control method, system, device, electronic equipment and storage medium | |
| CN109634681B (en) | Method and device for uploading data to manufacturing execution system | |
| CN117041111A (en) | Vehicle cloud function test method and device, electronic equipment and storage medium | |
| CN114629831B (en) | Network card performance test method, device, equipment and storage medium | |
| KR102415877B1 (en) | Apparatus and method for real-time communication status measuring based on DDS protocol in combat system | |
| Hildenbrand | ED-247 (VISTAS) Gateway for Hybrid Test Systems | |
| Thibodeaux | The specification and implementation of a model of computation | |
| Armengaud et al. | Automotive software architecture: Migration challenges from an event-triggered to a time-triggered communication scheme | |
| CN115794659B (en) | Distributed parallel testing method, device, equipment and medium for CFD software | |
| CN116320055B (en) | Network protocol conversion method and system | |
| CN117235307B (en) | STDF data processing method and device and computing equipment | |
| JP2003177937A (en) | Apparatus and method for improvement of communication between emulator unit and host device | |
| US20240143493A1 (en) | System and methods for testing microservices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210323 |
|
| RJ01 | Rejection of invention patent application after publication |