CN109635311A - A kind of l-G simulation test data collection system based on DDS - Google Patents
A kind of l-G simulation test data collection system based on DDS Download PDFInfo
- Publication number
- CN109635311A CN109635311A CN201811240532.7A CN201811240532A CN109635311A CN 109635311 A CN109635311 A CN 109635311A CN 201811240532 A CN201811240532 A CN 201811240532A CN 109635311 A CN109635311 A CN 109635311A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- acquisition
- data acquisition
- model
- 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
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
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/02—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
- G06F15/025—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators adapted to a specific application
- G06F15/0283—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators adapted to a specific application for data storage and retrieval
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Computer And Data Communications (AREA)
Abstract
The invention discloses one kind to be based on DDS (Data Distribution Service, Data distributing) l-G simulation test data collection system, this method, which specifically includes that, obtains pending data acquisition session, and the data acquisition session includes the model definition of acquisition data；According to the quality of service policy (Quality of Service, QoS) of the requirement setting data acquisition session of the model of the acquisition data；The data sample that the data model updates is acquired according to the quality of service policy of the data acquisition session, the data model includes at least the type identification of node system.The acquisition of test data and record in the associative simulation experimental enviroment that the present invention can be used for constructing based on DDS simplify the operating process of data acquisition, the real-time for promoting data acquisition and accuracy, the flexibility and scalability for increasing associative simulation experimental enviroment.
Description
Technical field
The l-G simulation test data collection system based on DDS that the present invention relates to a kind of.
Background technique
Under the continuous promotion of new network, distributing emulation system has obtained extensive research and application.Tradition point
Cloth system uses C/S (Client/Server) framework of close coupling interactive mode, so that the scalability and cutting of whole system
Property is poor, for scale complex system.In order to adapt to the new need of extensive, decentralised control and dynamic reorganization
It asks, the interactive mode of data-centered (Data-Centric) is more and more applied in distributed system, with
It interacts between each component of the distributed system of data grid technology without directly establishing connection, only needs directly into distribution
Between the publication of part platform or subscribe to corresponding data, that is, can reach between each group part the purpose of interaction.
Currently, distributed emulation Test Data Collecting is mostly used based on C/S frame both at home and abroad in the research achievement of related fields
The acquisition method based on DIS (distributed interactive simulation) and HLA (High Level Architecture) standard of structure.In the emulation system based on DIS
In system, although the structure of message is a part (such as protocol Data Unit PDU) of agreement, data acquisition is direct, DIS skill
Art is in standard, agreement and application aspect Shortcomings and limitation, in order to make up the defect U.S. national defense modeling and simulation office of DIS
Room (DMSO) proposes High Level Architecture (High Level Architecture), but HLA lacks to define data friendship
The data interaction consensus standard (the protocol Data Unit PDU in such as DIS) for changing format, can only carry out indirect data acquisition, and
And HLA is also unable to satisfy the demand of Large Scale Distributed Simulations system in terms of real-time.
Summary of the invention
The l-G simulation test data collection system that the purpose of the present invention is to provide a kind of based on DDS, software, overcome traditional C/
The deficiency and limitation of S (Client/Server) framework, the coupling between reduction system, increase the real-time for guaranteeing data interaction
The scale of big system application.
First aspect present invention provides a kind of data collection system based on DDS, including task acquisition module, task solution
Analyse module, configuration module and acquisition module；
The task acquisition module is used to receive the data acquisition planning file that host node sends over, and is sent to task
Parsing module；Wherein, data acquisition planning file be l-G simulation test personnel acquire as needed data manual editing, production
's；The host node sends data acquisition planning tasks to node system of participating in the experiment, and the data acquisition planning tasks include data
Acquisition tasks description；
The task parsing module is used for the parsing from data acquisition planning tasks and obtains pending data acquisition session,
Data acquisition session includes the model definition of acquisition data；Wherein, data model is using Interface Definition Language (Interace
Definition Language, IDL) structural body of acquisition data that defines；
What the configuration module was used to be arranged data acquisition session starts and terminates instruction；
The acquisition module is used for quality of service policy (QoS, the Quality of according to data acquisition session
Service, service quality) data sample that collection model updates, the data model includes the type mark of node system of participating in the experiment
Know, node system i.e. child node system of participating in the experiment.
The configuration module includes enabled instruction control module and END instruction control module；
The enabled instruction control module is used to control the starting, online for node system of participating in the experiment, and starts to transport with emulation platform
Behavior starting point；
The END instruction control module is used to control the stopping, offline of child node system, terminates to run with emulation platform
For terminating point.
The acquisition module includes starting control module, data acquisition module, finishing control module, control information collection mould
Block and status information capture module；
When the starting control module enters operating status for child node system, starting executes data acquisition session；
The data acquisition module is used to acquire the sample data of the update of data model belonging to data acquisition session；
When the finishing control module enters shutdown status for child node system, stop executing data acquisition session；
The control information acquisition module is used to obtain the control instruction data sample according to control data model；
The status information capture module is used to obtain the control instruction data sample according to control data model.
Control information acquisition module and status information capture module belong to the submodule of data acquisition module, respectively acquisition control
Information data and status information data processed, it is therefore an objective to convenient for distinguishing two distinct types of data.Control information is host node hair
The director data of control child node system out, and status information is the data of the state of child node system real time execution, control
Information and status information respectively correspond control Information Data model and status information model
The invention also includes receiving module, receiving module is deposited for collected test data to be uploaded to server
Storage.
The receiving module includes data filtering module, format converting module and data loading module；
The data filtering module is for filtering out the redundant data for node system generation of participating in the experiment；The present invention takes
ContentFilteredTopic class, i.e. content-based filtering theme, such support are selectively ordered according to filter condition
Read the data sample of associated subject update；
The format converting module is used to the Data Format Transform of data model definitions be database table structure format；
The data loading module is for being written database for the data sample that data model updates in real time and being uploaded to clothes
Business device completes acquisition data.
System executes following steps:
Step 1, task acquisition module receives the data acquisition planning file that host node sends over, and is sent to task solution
Analyse module；
Step 2, task parsing module acquires parsing in planning file from data and obtains pending complete data acquisition
Task；
Step 3, node system of participating in the experiment obtains respectively pending data acquisition session, data acquisition session packet from host node
The model definition of acquisition data is contained, model definition includes control Information Data model and status information model；Wherein, data mould
Type is the structural body of the acquisition data defined using Interface Definition Language；
Wherein, data acquisition session refers to that the sample data that acquisition data model updates, including control information data correspond to
Sample data and the corresponding sample data of status information model；Wherein, sample data be participate in the experiment node system generation data.
Step 4, according to the quality of service policy of acquisition data demand setting data acquisition session, quality of service policy is several
One group provided according to distribution service middleware is used to control the characteristic value of its service behavior；In general, setting quality of service policy
There are two types of methods, one is the method (i.e. set_qos ()) provided using entity, the second is using the side of XML configuration file
Method.
Step 5, starting runs node system of participating in the experiment, and then starting, which runs host node system and starts, executes data acquisition times
Business；
Step 6, the status data sample of each node system operation, state are acquired during executing data acquisition session
Data sample includes system control information sample data and system status information sample data；
Step 7, when node system of participating in the experiment is out of service, then stop executing data acquisition session；
Step 8, the data sample updated according to the quality of service policy acquisition data model of data acquisition session.
It is described to acquire what the acquisition data model updated during executing the data acquisition session in step 6
Data sample, comprising: the type identification for including according to data model distinguishes the type for node system of participating in the experiment, node of participating in the experiment
System is divided into the Constructive three types of true Live, virtual Virtual and construction.
When executing step 8, i.e., during executing data acquisition session, or after executing step 8, that is, stop
After executing data acquisition session, collected system control information sample data and system status information sample data are uploaded
To server.Can include:
The utility model has the advantages that the present invention can obtain the pending data acquisition session comprising data model, and according to data
Acquisition control instruction is believed according to the control information and state of the data model acquisition child node system of the data acquisition session
Breath；Above scheme can establish model to data content collected, simplify data acquisition operations process, improve data acquisition
Real-time and accuracy, guarantee data integrity.
The present invention is based on data-centered publish/subscribe (Data-Centric Publisher/Subscriber,
DCPS) model, provides not only the data model for defining various data, and with asynchronous, multi-point and real-time
Feature, so that the participant of communication is upper full decoupled in space, time and control stream.In addition, Data distributing DDS (Data
Distribution Service, DDS) additionally provide quality of service policy abundant (QoS) facilitate customization data distribution it is each
Kind service.
Detailed description of the invention
The present invention is done with reference to the accompanying drawings and detailed description and is further illustrated, it is of the invention above-mentioned or
Otherwise advantage will become apparent.
Fig. 1 is a kind of collecting method flow chart provided by the invention.
Fig. 2 is a kind of data acquisition software structural schematic diagram provided by the invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
The l-G simulation test data collection system based on DDS that the present invention provides a kind of, the system execute following steps:
Step 1, the data acquisition planning file that host node sends over is received.
Step 2, parsing obtains pending data acquisition session from the data acquisition planning file.
Step 3, pending data acquisition session is obtained, the data acquisition session includes that the model of acquisition data is fixed
Justice.
Wherein, data acquisition session is used to indicate the sample data for the acquisition data model that present example defines, including
Control the corresponding sample data of Information Data model and the corresponding sample data of status information model.
In present example, host node can be regarded as a terminal, which controls it as overall control center
His child node computer or system.Data acquire retouching for the collected each child node computer or system of planning file configuration
Information is stated, such as: need which is acquired to the control instruction of each child node computer or system, each child node computer or system
The status data etc. of seed type.Child node computer or system receive the data acquisition planning file that host node sends over, from
Middle parsing obtains respectively pending data acquisition session, and the model definition of acquisition data is contained in data acquisition session.
Step 4, according to the quality of service policy of the requirement setting data acquisition session of the model of the acquisition data
(QosPolicy)。
Wherein, quality of service policy (QosPolicy) is Data distributing (Data Distribution Service)
One group of middleware offer is for controlling the characteristic value of its service behavior.It establishes and communicates between data publisher and data subscription person
Other than defining and register identical data model (i.e. Topic), it is necessary to which the RxO being arranged between publisher and subscriber is special
Property both (be respectively set quality of service policy), and it is simultaneous to meet quality of service policy between the two (QosPolicy)
Capacitive.In general, there are two ways to setting quality of service policy, one is method (the i.e. set_qos provided using entity
()), the second is using the method for XML configuration file.
Step 5, starting runs node system of participating in the experiment first, and then starting, which runs host node system and starts, executes the number
According to acquisition tasks.
Step 6, the status data sample of each node system operation is acquired during executing the data acquisition session.
The acquisition of two kinds of data is related generally to during executing data acquisition session, one is system control information sample
Data, secondly being system status information sample data.
Step 7, when node system is out of service, then stop executing data acquisition session.In the specific implementation, node system
When stopping or going offline, Data distributing middleware can handle it automatically and (disconnect or establish communication connection).
Step 8, the data sample that the data model updates is acquired according to the quality of service policy of the data acquisition session
This, the data model includes at least the type identification of node system.
Wherein, node system may include true (Live), virtual (Virtual), (Constructive) constructed
Analogue system, type identification can be IP address, be also possible to ID mark, be mainly used for distinguishing system of participating in the experiment.
In practical application, this method that is to say during executing data acquisition session when executing step 8；Or
After executing 8, namely stop after executing data acquisition session, by collected system control information sample data and system
Status information sample data is uploaded to server.Data upload process can occur during executing data acquisition session, tool
Data from node system collected in time interval are directly uploaded to server for host node by body, so that collected
Data are saved on database server in time, reduce the storage burden of host node.Certainly, data upload may also occur at stopping
After executing data acquisition session, specially the collected data from node system are stored in local by host node, to certain
The sequence data complete or collected works of all node systems are uploaded to server again after primary complete test process, so will increase master
The storage burden of node, but can guarantee the integrality of test data.Collected test data can be not only used for ex ante analysis, such as
The research or preview of simulation model；On-line analysis, such as to the monitoring of running situation or on-line debugging etc.；Ex-post analysis,
Such as shown according to the recurrence that collected complete test data carries out different levels and granularity to entire simulation process and
Detail analysis, and corresponding test report is generated for carrying out VV&A analysis verifying.
Above-mentioned collecting method simplifies data acquisition operations by establishing data model to data content collected
Process, improve data acquisition real-time and accuracy, ensure that data acquisition integrality.
Collecting method shown in based on the above embodiment, the present invention include following module:
Task acquisition module 101 acquires planning tasks for obtaining pending data, and the data acquire planning tasks
It is described comprising data acquisition session.
Task parsing module 102 obtains pending data acquisition session for parsing from data acquisition planning tasks,
Data acquisition session includes the model definition of acquisition data.
Configuration module 103 starts and terminates instruction for be arranged data acquisition session.
Acquisition module 104, for acquiring the data model more according to the quality of service policy of the data acquisition session
New data sample, the data model include at least the type identification of node system.
Further, the control instruction of the data acquisition session includes starting control instruction and finishing control instruction；It is based on
This, software is in running configuration module 103, carrying out practically following module:
Enabled instruction configuration module 1001 is brought into operation for controlling the starting, online of child node system with emulation platform
For starting point.
END instruction configuration module 1002 terminates to run for controlling the stopping, offline of child node system with emulation platform
For terminating point.
In the specific implementation, software is when running acquisition module 104, carrying out practically following module:
Start control module 2001, when entering operating status for child node system, starting executes the data and adopts
Set task.
Data acquisition module 2002, the sample number updated for acquiring data model belonging to the data acquisition session
According to.
Finishing control module 2003 when entering shutdown status for child node system, stops the data described in executing and adopts
Set task.
Further, which can also the following module that includes of operation data acquisition module 2002:
Information acquisition module 2221 is controlled, for obtaining the control instruction data sample according to control data model.
Status information capture module 2222, for obtaining the status data sample according to status data model.
In the specific implementation, the software can also run receiving module 105, for collected test data to be uploaded to service
Device is stored.
Further, which can also run the following module that receiving module 105 includes:
Data filtering module 3001, it is newest for being constituted according to final required data, filtering and obtaining child node system
Status data；
Format converting module 3002, for being database table structure format by the Data Format Transform of data model definitions；
Database is written in real time and is uploaded to clothes for data loading module 3003, the data sample for updating data model
Business device completes acquisition data.
Data acquisition software provided in an embodiment of the present invention can obtain pending comprising acquisition data model definitions
Data acquisition session, and the quality of service policy of the requirement setting data acquisition session according to the model of the acquisition data
(QoS), the data sample of the data model, the data mould are acquired according to the quality of service policy of the data acquisition session
Type includes at least the type identification of node system.Above scheme can be good at the data model provided using Data distributing
Definition, the quality of service policy abundant provided by Data distributing, flexible on-demand customization Data distributing.
The l-G simulation test data collection system based on DDS that the present invention provides a kind of, implements the side of the technical solution
There are many method and approach, the above is only a preferred embodiment of the present invention, it is noted that for the common skill of the art
For art personnel, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications
Also it should be regarded as protection scope of the present invention.All undefined components in this embodiment can be implemented in the prior art.
Claims (8)
1. a kind of l-G simulation test data collection system based on DDS, which is characterized in that parsed including task acquisition module, task
Module, configuration module and acquisition module；
The task acquisition module is used to receive the data acquisition planning file that host node sends over, and is sent to task parsing
Module；Wherein, the host node sends data acquisition planning tasks to node system of participating in the experiment, and the data acquire planning tasks packet
It is described containing data acquisition session；
The task parsing module is used for the parsing from data acquisition planning tasks and obtains pending data acquisition session, data
Acquisition tasks include the model definition of acquisition data；Wherein, data model is the acquisition data defined using Interface Definition Language
Structural body；
What the configuration module was used to be arranged data acquisition session starts and terminates instruction；
The acquisition module is used for the data sample updated according to the quality of service policy collection model of data acquisition session, described
Data model includes the type identification of node system of participating in the experiment, node system i.e. child node system of participating in the experiment.
2. the system as claimed in claim 1, which is characterized in that the configuration module includes enabled instruction control module and end
Instruction control module；
The enabled instruction control module is used to control the starting, online for node system of participating in the experiment, with emulation platform bring into operation for
Starting point；
The END instruction control module is used to control the stopping, offline of child node system, terminates to operate to end with emulation platform
Stop.
3. system as claimed in claim 2, which is characterized in that the acquisition module includes starting control module, data acquisition
Module, finishing control module, control information acquisition module and status information capture module；
When the starting control module enters operating status for child node system, starting executes data acquisition session；
The data acquisition module is used to acquire the sample data of the update of data model belonging to data acquisition session；
When the finishing control module enters shutdown status for child node system, stop executing data acquisition session；
Control information acquisition module and status information capture module belong to the submodule of data acquisition module, respectively acquisition control letter
Data and status information data are ceased, control information is the director data for the control child node system that host node issues, and state is believed
Breath is the data of the state of child node system real time execution, controls information and status information respectively corresponds control Information Data model
With status information model.
4. system as claimed in claim 3, which is characterized in that further include receiving module, receiving module is used for will be collected
Test data is uploaded to server and is stored.
5. system as claimed in claim 4, which is characterized in that the receiving module includes data filtering module, format conversion
Module and data loading module；
The data filtering module is for filtering out the redundant data for node system generation of participating in the experiment；The format converting module is used for
It is database table structure format by the Data Format Transform of data model definitions；
The data loading module is used to that database to be written in the data sample that data model updates in real time and is uploaded to server,
Complete acquisition data.
6. system as claimed in claim 5, which is characterized in that system executes following steps:
Step 1, task acquisition module receives the data acquisition planning file that host node sends over, and is sent to task parsing mould
Block；
Step 2, task parsing module acquires parsing in planning file from data and obtains pending complete data acquisition session；
Step 3, node system of participating in the experiment obtains respectively pending data acquisition session from host node, and data acquisition session contains
The model definition of data is acquired, model definition includes control Information Data model and status information model；
Step 4, according to the quality of service policy of acquisition data demand setting data acquisition session, quality of service policy is data point
One group of hair service middleware offer is for controlling the characteristic value of its service behavior；
Step 5, starting runs node system of participating in the experiment, and then starting runs host node system and starts execution data acquisition session；
Step 6, the status data sample of each node system operation, status data are acquired during executing data acquisition session
Sample includes system control information sample data and system status information sample data；
Step 7, when node system of participating in the experiment is out of service, then stop executing data acquisition session；
Step 8, the data sample updated according to the quality of service policy acquisition data model of data acquisition session.
7. system as claimed in claim 6, which is characterized in that described in the mistake for executing the data acquisition session in step 6
The data sample that the acquisition data model updates is acquired in journey, comprising: the type identification for including according to data model is to participating in the experiment
The type of node system distinguishes, and node system of participating in the experiment is divided into true Live, virtual Virtual and construction
Constructive three types.
8. system as claimed in claim 7, which is characterized in that when executing step 8, i.e., in the mistake for executing data acquisition session
Cheng Zhong, or after executing step 8, that is, stop after executing data acquisition session, by collected system control information sample
Notebook data and system status information sample data are uploaded to server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811240532.7A CN109635311A (en) | 2018-10-24 | 2018-10-24 | A kind of l-G simulation test data collection system based on DDS |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811240532.7A CN109635311A (en) | 2018-10-24 | 2018-10-24 | A kind of l-G simulation test data collection system based on DDS |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109635311A true CN109635311A (en) | 2019-04-16 |
Family
ID=66066636
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811240532.7A Pending CN109635311A (en) | 2018-10-24 | 2018-10-24 | A kind of l-G simulation test data collection system based on DDS |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109635311A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511358A (en) * | 2021-02-02 | 2021-03-16 | 湖南高至科技有限公司 | Heterogeneous interconnection simulation system, method, computer device and storage medium |
| CN113268436A (en) * | 2021-07-21 | 2021-08-17 | 航天中认软件测评科技（北京）有限责任公司 | Multi-granularity computer simulation operation information acquisition method based on hook points |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102340802A (en) * | 2010-07-14 | 2012-02-01 | 中国联合网络通信集团有限公司 | Service quality monitoring method and system |
| CN104243331A (en) * | 2014-09-24 | 2014-12-24 | 国家电网公司 | Intelligent collecting router and implementing method thereof |
| CN104753735A (en) * | 2013-12-31 | 2015-07-01 | ***通信集团上海有限公司 | Dialing testing system and method |
| CN105119950A (en) * | 2014-01-16 | 2015-12-02 | 国网山东省电力公司青岛供电公司 | Power distribution network communication method |
| CN105205183A (en) * | 2015-10-29 | 2015-12-30 | 哈尔滨工业大学 | Automatic establishing method of DDS (data distribution service) distributive system based on XML |
| CN106713010A (en) * | 2016-11-23 | 2017-05-24 | 北京润科通用技术有限公司 | Communication method and system for avionics network system |
| CN106708815A (en) * | 2015-07-15 | 2017-05-24 | 中兴通讯股份有限公司 | Data processing method, device and system |
-
2018
- 2018-10-24 CN CN201811240532.7A patent/CN109635311A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102340802A (en) * | 2010-07-14 | 2012-02-01 | 中国联合网络通信集团有限公司 | Service quality monitoring method and system |
| CN104753735A (en) * | 2013-12-31 | 2015-07-01 | ***通信集团上海有限公司 | Dialing testing system and method |
| CN105119950A (en) * | 2014-01-16 | 2015-12-02 | 国网山东省电力公司青岛供电公司 | Power distribution network communication method |
| CN104243331A (en) * | 2014-09-24 | 2014-12-24 | 国家电网公司 | Intelligent collecting router and implementing method thereof |
| CN106708815A (en) * | 2015-07-15 | 2017-05-24 | 中兴通讯股份有限公司 | Data processing method, device and system |
| CN105205183A (en) * | 2015-10-29 | 2015-12-30 | 哈尔滨工业大学 | Automatic establishing method of DDS (data distribution service) distributive system based on XML |
| CN106713010A (en) * | 2016-11-23 | 2017-05-24 | 北京润科通用技术有限公司 | Communication method and system for avionics network system |
Non-Patent Citations (1)
| Title |
|---|
| 张庆杰等: "基于DCPS的分布式多UCAV协同控制半物理仿真***", 《2009中国控制与决策会议论文集》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511358A (en) * | 2021-02-02 | 2021-03-16 | 湖南高至科技有限公司 | Heterogeneous interconnection simulation system, method, computer device and storage medium |
| CN112511358B (en) * | 2021-02-02 | 2021-04-30 | 湖南高至科技有限公司 | Heterogeneous interconnection simulation system, method, computer device and storage medium |
| CN113268436A (en) * | 2021-07-21 | 2021-08-17 | 航天中认软件测评科技（北京）有限责任公司 | Multi-granularity computer simulation operation information acquisition method based on hook points |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106790455B (en) | A kind of distributed cloud management system and method based on mixed mode | |
| CN108427992A (en) | A kind of machine learning training system and method based on edge cloud computing | |
| CN103248512B (en) | The generation method and system of application layer topological structure in communication network | |
| CN105376101B (en) | A kind of method and system of material object equipment access of virtual network | |
| CN105468735A (en) | Stream preprocessing system and method based on mass information of mobile internet | |
| CN101082970A (en) | Method for realizing government affairs examination and approval workflow engines system | |
| CN110769032B (en) | System and method for rapidly detecting and maintaining power grid equipment fault | |
| CN102411540B (en) | Automatic management system of workflow-based common software testing process | |
| CN104572444A (en) | Cloud testing platform for game performance and testing method for cloud testing platform | |
| CN105872068A (en) | Cloud platform and automatic operation check method based on same | |
| CN112925646A (en) | Electric power data edge calculation system and calculation method | |
| CN111525698A (en) | Automatic data access method, device and system for low-voltage distribution network | |
| CN106802947B (en) | The data processing system and method for entity relationship diagram | |
| CN109635311A (en) | A kind of l-G simulation test data collection system based on DDS | |
| CN110391949A (en) | A kind of method and relevant apparatus of configuration change | |
| CN108989385A (en) | A kind of implementation method based on Zabbix monitoring collection automatic synchronization CMDB | |
| WO2013159586A1 (en) | Distributed simulation data processing method and device | |
| CN110458528A (en) | A kind of full-service configuration management platform based on CMDB operation management | |
| CN104298761A (en) | Implementation method for master data matching between heterogeneous software systems | |
| CN108229816A (en) | Management method is matched by the battalion of Internet of Things networking based on distributed management | |
| CN105550504B (en) | A kind of portable medical information system and medical information processing method | |
| CN109636095A (en) | A kind of grid equipment Unified Model management system based on regulation cloud framework | |
| CN104113580A (en) | hadoop cluster automatic deployment technology based on virtual machine template | |
| CN109299196A (en) | Data managing method, network and data acquisition storage application method and its system | |
| CN116090847A (en) | User identity data management system based on cloud platform and readable medium |
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 | ||
| CB02 | Change of applicant information |
Address after: No.1 Lingshan South Road, Qixia District, Nanjing, Jiangsu Province, 210000 Applicant after: THE 28TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY Group Corp. Address before: 210007 No. 1 East Street, alfalfa garden, Jiangsu, Nanjing Applicant before: THE 28TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY Group Corp. |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190416 |
|
| RJ01 | Rejection of invention patent application after publication |