CN104850447B - A kind of method of data capture based on High Level Architecture - Google Patents
A kind of method of data capture based on High Level Architecture Download PDFInfo
- Publication number
- CN104850447B CN104850447B CN201410573110.7A CN201410573110A CN104850447B CN 104850447 B CN104850447 B CN 104850447B CN 201410573110 A CN201410573110 A CN 201410573110A CN 104850447 B CN104850447 B CN 104850447B
- Authority
- CN
- China
- Prior art keywords
- data record
- data
- federal member
- federal
- submodule
- 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.)
- Expired - Fee Related
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Computer And Data Communications (AREA)
Abstract
The present invention provides a kind of method of data capture based on High Level Architecture, including creating federation execution, other federal members are added in federation execution, multiple federal members order respective object class and attribute by its communication interface to operational support system, OSS respectively, and operational support system, OSS gives the data distribution in simulation run to each federal member；The data received are assigned in multiple data record submodules by each federal member, and the load of multiple data record submodules is monitored；When each federal member receives new data, each federal member is according to the present load amount of each data record submodule, dynamic dispatching is carried out, and the data that each data record submodule is collected are stored to the collection task of multiple data record submodules, completes the collection of emulation data.The present invention alleviates the problem of network congestion, and can support analogue system on line real time, data query and post-incident review analysis etc..
Description
Technical field
The present invention relates to computer simulation technique field, more particularly to a kind of data collection side based on High Level Architecture
Method.
Background technology
High Level Architecture (High Level Architecture, HLA) is the new stage of emulation technology development, is had become
To emulate used primary structure at present.Compared with traditional DIS, HLA improves emulation by taking a series of measure
The reusability of interoperability and simulation model between system, however, HLA is while reusability and interoperability is improved
The complication of emulation data is resulted in, so as to increase the difficulty that analogue system realizes data collection and record, and data collection
It is an important content of emulation, only can just realizes that playback, analysis, evaluation etc. emulate purpose by data collection.
At present, the function of data collection is usually added in into simulated program using following three kinds of methods in HLA：
The first：The daily record federal member of centralization, unique function of the federal member are exactly data collection, order and remember
Record all data received.
Second：Formula is completely dispersed, i.e., data collection function is added directly into each simulated members program.
The third：It is operational support system, OSS (RTI：Runtime Infrastructure) interface daily record, it is present in imitative
Between true member's software and the API of RTI, the data from federal member to RTI and from RTI to federal member are collected.
For above-mentioned three kinds of methods of data capture, the centralized data record mechanism employed in HLA analogue systems will
Lead to network congestion and processor load excessive, so as to the bottleneck as entire analogue system；Moreover, in network data transmission rate
In the case of reaching peak value, loss of data is necessarily caused, and then influence the confidence level of statistic analysis result.Be completely dispersed formula and
The recording mechanisms such as RTI logging middlewares, although can to a certain extent alleviate between simulation scale and wide area network low bandwidth
Contradiction reduces negative effect of the data record to analogue system, but due to recording the dispersibility of data, it is difficult to effectively support
The online real-time statistic analysis of system, AAR and simulation process playback demand, and easily cause record redundant data and record data model
The clear area enclosed.
Invention content
The technical issues of present invention need to solve is to provide a kind of method of data capture based on High Level Architecture, to alleviate
The problem of since web database technology reaches peak value and leading to network congestion, and analogue system can be supported to divide in real time online simultaneously
Analysis, data query and post-incident review analysis etc..
To solve the above problems, the present invention provides a kind of method of data capture based on High Level Architecture, use
Technical solution is as follows：
S1, each federal member in High Level Architecture analogue system is initialized, each federal member includes respectively
Multiple data record submodules, the collection task of the multiple data record submodules of initial setting up；
S2, based on operational support system, OSS, a federal member is selected to create federation execution connection from multiple federal members,
And other federal members are added in the federation execution；
S3, the multiple federal member order respective object by its communication interface to the operational support system, OSS respectively
Class and attribute, the operational support system, OSS is according to the object class and attribute of each federal member, the data that will be generated in simulation run
It is distributed to each federal member；
S4, each federal member will be received according to the collection task of multiple data record submodules of initial setting up
Data be assigned in multiple data record submodules, and the load of the multiple data record submodule is monitored, obtain
To the present load amount of each data record submodule；
S5, when each federal member receives new data, each federal member is according to each data record submodule
The present load amount of block, carries out the collection tasks of multiple data record submodules dynamic dispatching, and by each data record submodule
The data that block is collected are stored, and complete the collection of emulation data.
Preferably, in the step S1, for each federal member, according to preset data collection amount S, initial setting up
The collection task Si of multiple data record submodules, wherein, 1≤i≤n, the Si meets：S=S1 ∪ S2 ∪ S3 ... Sn.
Preferably, it is the multiple during the collection task Si of the multiple data record submodules of initial setting up in the step S1
The collection task of data record submodule meets：
Sj ∩ Sk are empty set, wherein, j, k ∈ i；j≠k；And/or | S1 |=| S2 |=| S3 |=...=| Sn |.
Preferably, the step S3 further comprises：
S31, based on operational support system, OSS, order region and update area for each Object Creation；
S32, for each object, found from other objects with the relevant update area of the object, by the object with
The update area connection；
S33, the interaction generic attribute announced according to each object, each federal member is connect with the order region of the object,
Complete the order of the respective object class of each federal member；
S34, the operational support system, OSS are each federal member Finding Object, and the object being found puies forward its Update attribute value
Operational support system, OSS is supplied, the Update attribute value is distributed to each federal member, completes each federation by the operational support system, OSS
The order of the respective object generic attribute of member；
S35, the operational support system, OSS are according to the object class and attribute of each federal member, the number that will be generated in simulation run
According to being distributed to each federal member.
Preferably, the step S4 further comprises：
Each federal member is monitored the operating status of the multiple data record submodule by manager；
The manager calculates the current negative of each data record submodule according to the operating status of each data record submodule
Carrying capacity LC, the present load amount of each data record submodule is obtained, calculation formula is as follows：
LC=f (C) C+g (M) M+h (N) N
Wherein, C represents the cpu busy percentage of the data record submodule, and M represents that the memory of the data record submodule utilizes
Rate, N represent the network bandwidth utilization factor of the data record submodule；F (C), g (M), h (N) represent the positive value letter of C, M, N respectively
Number.
Preferably, the step S5 further comprises：
S51, manager calculate data record submodule future according to the present load amount of each data record submodule
The load capacity L at momentC, calculation formula is as follows：
Le=LC+nt·(LC-LS)/mt
Wherein, LSFor the load capacity of the data record submodule last time, nt represents data record submodule future
Moment and the time interval at current time, mt represent the time interval of data record submodule current time and last time, n
It is constant with m；
Whether S52, the load capacity for judging each data record submodule future time instance are somebody's turn to do more than load threshold if so, working as
When federal member receives new data, the partial task in the follow-up work of the data record submodule is scheduled to load capacity
Less than the data record submodule of load threshold；
S53, the data that each data record submodule is collected are stored, completes the collection of emulation data.
The beneficial effects of the invention are as follows：A kind of method of data capture based on High Level Architecture provided by the invention is led to
It crosses and multiple federal members is set to be utilized respectively its communication interface communicate to obtain the data that need to be collected with operational support system, OSS,
And then being in communication with each other between federal member is realized, and since the data collected by multiple federal members are by operation support system
System, so as to reduce the dispersibility of data record, with realize effectively support the on line real time of analogue system, data query and
Post-incident review analysis etc., meanwhile, setting federal member passes through each data of dynamic dispatching respectively comprising multiple data record submodules
The load of record sub module realizes efficiently using for resource, causes so as to alleviate since web database technology reaches peak value
The problem of network congestion；The present invention is easily operated, convenient for promoting.
Specific embodiment
With reference to embodiment, the embodiment of the present invention is furthur described in detail.
The present invention provides a kind of method of data capture based on High Level Architecture, includes the following steps：
S1, each federal member in High Level Architecture analogue system HLA is initialized, each federal member wraps respectively
Containing multiple data record submodules, the collection task of the multiple data record submodules of initial setting up；
For each federal member, according to preset data collection amount S, the multiple data record submodules of initial setting up
Collection task Si, wherein, 1≤i≤n, the Si meets：S=S1 ∪ S2 ∪ S3 ... Sn.
Preferably, in the step S1, during the collection task Si of the multiple data record submodules of initial setting up, Yong Huke
According to data collection requirement, the collection task of the multiple data record submodule to be selected to meet condition：
Sj ∩ Sk are empty set, wherein, j, k ∈ i；j≠k；And/or | S1 |=| S2 |=| S3 |=...=| Sn |.
S2, based on operational support system, OSS RTI, a federal member is selected to create federation execution from multiple federal members and is connected
It connects, and other federal members is added in the federation execution；
Operational support system, OSS RTI (Run time Infrastructure) is one group of software, for realizing that a federation holds
The core of reciprocation in row between each federal member, i.e. RTI as federation execution, in a Federation Execution Process,
All federal members should by HLA interface specifications illustrate it is required in the way of with it carry out data exchange, to realize federation
Reciprocation between member.Operational support system, OSS RTI provides 6 kinds of services, respectively federation management service, declaration management clothes
Business, Object Management group service, ownership management service, time management service, data distribution management service.Wherein, federation management takes
Main provide of business creates, deletes, adds in and exits the services such as federal operation.
In this step, connected by the way that " the creating federation execution service " of federation management service is called to create a federation execution
It connects；By calling " the adding in federation execution service " of federation management service, other federal members are added to the federation execution
In.
S3, the multiple federal member order respective object by its communication interface to the operational support system, OSS respectively
Class and attribute, the operational support system, OSS is according to the object class and attribute of each federal member, the data that will be generated in simulation run
It is distributed to each federal member；
In the present invention, each federal member includes a series of communication interface, these communication interfaces and operation support system
Unite RTI environment it is consistent, each federal member respectively by its communication interface to operational support system, OSS order respective object class and
Attribute；
In HLA, object belongs to object class, is the example of object class.Object member is when adding in federation execution, Ke Yitong
The declaration management service DM of RTI is crossed to state the object properties that it can be provided and the attribute for ordering its needs, i.e. object member makes
It represents that it can establish dynamic model to certain class object with " service of published object class " in DM, is responsible for operation in federation execution
Dynamic model carrys out the attribute of upgating object and is provided out；Belong to certain using " ordering object class service " to represent that it wishes to obtain
The attribute of class object.
Each federal member orders respective object class and attribute by its communication interface to operational support system, OSS respectively；Specifically
Including：
S31, based on operational support system, OSS, order region and update area for each Object Creation；
DDM is serviced as each Object Creation order and update area by the data distribution management that RTI is provided.One path
Space is the coordinate system of a multidimensional, is the data space that property value is formed in federation execution, and object member can be expressed with it
Wish to send and receive the range of data.The subset that region and update area are path spacings is ordered, region is ordered and is used for showing
Object wishes to receive the information in the region, and update area represents that member promises to undertake the property value sent out into the region.
S32, for each object, found from other objects with the relevant update area of the object, by the object with
The update area connection；
Each object can all announce its attribute and its wish the attribute of the class of interaction when creating.In this step, according to
Its attribute announced, discovery and the relevant update area of the object from other objects, by the object and corresponding update area
It connects.
S33, the interaction generic attribute announced according to each object, each federal member is connect with the order region of the object,
Complete the order of the respective object class of each federal member；
It is each federal member Finding Object that S34, the operational support system, OSS service OM by the Object Management group that RTI is provided,
Its Update attribute value is supplied to operational support system, OSS RTI, the operational support system, OSS RTI by the update by the object being found
Property value is distributed to each federal member, completes the order of the respective object generic attribute of each federal member；
S35, the operational support system, OSS are according to the object class and attribute of each federal member, the number that will be generated in simulation run
According to being distributed to each federal member.
S4, each federal member will be received according to the collection task of multiple data record submodules of initial setting up
Data be assigned in multiple data record submodules, and the load of the multiple data record submodule is monitored, obtain
To the present load amount of each data record submodule；It specifically includes：
Data record submodule real-time reception data, and report self-operating state to manager；
Default monitoring period interval t, the manager were calculated according to the operating status of each data record submodule per t seconds
The present load amount L of primary each data record submoduleC, the present load amount of each data record submodule is obtained, is calculated public
Formula is as follows：
LC=f (C) C+g (M) M+h (N) N
Wherein, C represents the cpu busy percentage of the data record submodule, and M represents that the memory of the data record submodule utilizes
Rate, N represent the network bandwidth utilization factor of the data record submodule；F (C), g (M), h (N) represent the positive value letter of C, M, N respectively
Number；
Preferably, manager safeguards a load scale table, and record current time each data record submodule is born
Carrying capacity is simultaneously arranged by the descending or ascending order of load capacity, and update was primary per t seconds for the table.
S5, when each federal member receives new data, each federal member is according to each data record submodule
The present load amount of block, carries out the collection tasks of multiple data record submodules dynamic dispatching, and by each data record submodule
The data that block is collected are stored, and are completed the collection of emulation data, are specifically included：
S51, manager are according to the present load amount of each data record submodule, when calculating data record submodule future
The load capacity L at quartere, calculation formula is as follows：
Le=LC+nt·(LC-LS)/mt
Wherein, LSFor the load capacity of the data record submodule last time, nt represents data record submodule future
Moment and the time interval at current time, mt represent the time interval of data record submodule current time and last time, n
It is constant with m；
S52, manager generate scheduling decision by Q learning algorithms, if finding a certain moment a certain record sub module in the future
Load capacity LeDuring more than k times of its ultimate load L, it is necessary to be dispatched to the follow-up work of the data record submodule negative
Carry lighter data record submodule；Wherein, k is the proportionality coefficient that user is set according to actual conditions, and is usually set to 60%
~90%；
If the load capacity for judging each data record submodule future time instance will be more than load threshold, when the federal member connects
When receiving new data, the partial task in the follow-up work of the data record submodule is scheduled to load capacity and is less than load threshold
The data record submodule of value；Based on scheduling as a small amount of as possible and the criterion of repetitive schedule is avoided, is scheduled to as far as possible negative
Carry most light data record submodule.
S53, the data that each data record submodule is collected are stored, completes the collection of emulation data.
In addition, the federal member in the present invention further includes data processing module, and for handling the Real time request of user, tool
Body step is as follows：
1) federal member receives the request of user, and the current loading condition according to each data record submodule judges whether
The request is responded.If present load allows, receive request；Conversely, then the request is sent to by RTI other
Federal member；
2) request currently received is analyzed, judge the request data whether in current Federal member database
Data are coincide.If coincide, the nearly communication interface of the request is sent to the data processing module of federal member, and perform step
3)；If misfitted, which is sent to other federal members plus timestamp.
3) corresponding data are returned to user by the request that the data processing module sends communication interface.
The beneficial effects of the invention are as follows：A kind of method of data capture based on High Level Architecture provided by the invention is led to
It crosses and multiple federal members is set to be utilized respectively its communication interface communicate to obtain the data that need to be collected with operational support system, OSS,
And then being in communication with each other between federal member is realized, and since the data collected by multiple federal members are by operation support system
System, so as to reduce the dispersibility of data record, with realize effectively support the on line real time of analogue system, data query and
Post-incident review analysis etc., meanwhile, setting federal member passes through each data of dynamic dispatching respectively comprising multiple data record submodules
The load of record sub module realizes efficiently using for resource, causes so as to alleviate since web database technology reaches peak value
The problem of network congestion；The present invention is easily operated, convenient for promoting.
Embodiment of above is merely to illustrate the present invention, and not limitation of the present invention, in relation to the common of technical field
Technical staff without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all
Equivalent technical solution also belongs to scope of the invention, and scope of patent protection of the invention should be defined by the claims.
Claims (4)
1. a kind of method of data capture based on High Level Architecture, which is characterized in that include the following steps：
S1, each federal member in High Level Architecture analogue system is initialized, each federal member is respectively comprising multiple
Data record submodule, the collection task of the multiple data record submodules of initial setting up；
S2, based on operational support system, OSS, a federal member is selected to create federation execution connection from multiple federal members, and will
Other federal members are added in the federation execution；
S3, the multiple federal member respectively by its communication interface to the operational support system, OSS order respective object class and
Attribute, the operational support system, OSS is according to the object class and attribute of each federal member, the data distribution that will be generated in simulation run
To each federal member；
S4, each federal member are according to the collection task of multiple data record submodules of initial setting up, the number that will be received
According to being assigned in multiple data record submodules, and the load of the multiple data record submodule is monitored, obtain each
The present load amount of data record submodule；
Each federal member is monitored the operating status of the multiple data record submodule by manager；
The manager calculates the present load amount of each data record submodule according to the operating status of each data record submodule
LC, the present load amount of each data record submodule is obtained, calculation formula is as follows：
LC=f (C) C+g (M) M+h (N) N
Wherein, C represents the cpu busy percentage of the data record submodule, and M represents the memory usage of the data record submodule, N
Represent the network bandwidth utilization factor of the data record submodule；F (C), g (M), h (N) represent the Positive Function of C, M, N respectively；
S5, when each federal member receives new data, each federal member is according to each data record submodule
Present load amount carries out dynamic dispatching, and each data record submodule is received to the collection task of multiple data record submodules
The data of collection are stored, and complete the collection of emulation data；
S51, manager calculate the data record submodule future time instance according to the present load amount of each data record submodule
Load capacity Le, calculation formula is as follows：
Le=LC+nt·(LC-LS)/mt
Wherein, LSFor the load capacity of the data record submodule last time, nt represent the data record submodule future time instance and
The time interval at current time, mt represent the time interval of data record submodule current time and last time, and n and m are equal
For constant；
Whether S52, the load capacity for judging each data record submodule future time instance are more than load threshold, if so, when the federation
When member receives new data, the partial task in the follow-up work of the data record submodule is scheduled to load capacity and is less than
The data record submodule of load threshold；
S53, the data that each data record submodule is collected are stored, completes the collection of emulation data.
2. the method for data capture based on High Level Architecture as described in claim 1, which is characterized in that the step S1
In：
For each federal member, according to preset data collection amount S, the collection of the multiple data record submodules of initial setting up
Task Si, wherein, 1≤i≤n, the Si meets：
S=S1 ∪ S2 ∪ S3 ... Sn.
3. the method for data capture based on High Level Architecture as claimed in claim 2, which is characterized in that the step S1
In：
During the collection task Si of the multiple data record submodules of initial setting up, the collection task of the multiple data record submodule
Meet：
Sj ∩ Sk are empty set, wherein, j, k ∈ i；j≠k；And/or | S1 |=| S2 |=| S3 |=...=| Sn |.
4. such as method of data capture of the claim 1-3 any one of them based on High Level Architecture, which is characterized in that described
Step S3 further comprises：
S31, based on operational support system, OSS, order region and update area for each Object Creation；
S32, for each object, found from other objects with the relevant update area of the object, by the object with it is described
Update area connects；
S33, the interaction generic attribute announced according to each object, each federal member is connect with the order region of the object, is completed
The order of each respective object class of federal member；
S34, the operational support system, OSS are each federal member Finding Object, its Update attribute value is supplied to by the object being found
The Update attribute value is distributed to each federal member, completes each federal member by operational support system, OSS, the operational support system, OSS
The order of respective object generic attribute；
S35, the operational support system, OSS divide the data generated in simulation run according to the object class and attribute of each federal member
Issue each federal member.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410573110.7A CN104850447B (en) | 2014-10-15 | 2014-10-15 | A kind of method of data capture based on High Level Architecture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410573110.7A CN104850447B (en) | 2014-10-15 | 2014-10-15 | A kind of method of data capture based on High Level Architecture |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104850447A CN104850447A (en) | 2015-08-19 |
| CN104850447B true CN104850447B (en) | 2018-07-06 |
Family
ID=53850104
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410573110.7A Expired - Fee Related CN104850447B (en) | 2014-10-15 | 2014-10-15 | A kind of method of data capture based on High Level Architecture |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104850447B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110728376B (en) * | 2019-10-21 | 2024-05-03 | 深圳前海微众银行股份有限公司 | Federal learning method and device based on tree topology structure |
| CN112560292A (en) * | 2021-01-06 | 2021-03-26 | 中国人民解放军63863部队 | Simulation system of complex environment target |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002039382A3 (en) * | 2000-11-13 | 2003-02-27 | France Telecom | Method for representing three-dimensional scenes in virtual reality and corresponding device |
| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
| CN102662681A (en) * | 2012-04-25 | 2012-09-12 | 清华大学 | Distributed simulation general supporting platform based on high level architecture (HLA) and implementation method thereof |
| CN103440376A (en) * | 2013-08-26 | 2013-12-11 | 中国人民解放军国防科学技术大学 | Distributed operation mode and centralized operation mode integrated simulation system operation supporting platform based on components |
-
2014
- 2014-10-15 CN CN201410573110.7A patent/CN104850447B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002039382A3 (en) * | 2000-11-13 | 2003-02-27 | France Telecom | Method for representing three-dimensional scenes in virtual reality and corresponding device |
| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
| CN102662681A (en) * | 2012-04-25 | 2012-09-12 | 清华大学 | Distributed simulation general supporting platform based on high level architecture (HLA) and implementation method thereof |
| CN103440376A (en) * | 2013-08-26 | 2013-12-11 | 中国人民解放军国防科学技术大学 | Distributed operation mode and centralized operation mode integrated simulation system operation supporting platform based on components |
Non-Patent Citations (1)
| Title |
|---|
| "HLA仿真***数据收集技术研究";岳林;《中国优秀硕士学位论文全文数据库 信息科技辑》;20090315;正文第1.1-3.3节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104850447A (en) | 2015-08-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8756441B1 (en) | Data center energy manager for monitoring power usage in a data storage environment having a power monitor and a monitor module for correlating associative information associated with power consumption | |
| US6366824B1 (en) | Manufacturing reference database | |
| CN109412829A (en) | A kind of prediction technique and equipment of resource distribution | |
| CN108268319A (en) | Method for scheduling task, apparatus and system | |
| CN108874640A (en) | A kind of appraisal procedure and device of clustering performance | |
| CN112860695B (en) | Monitoring data query method, device, equipment, storage medium and program product | |
| CN105653398B (en) | A kind of smart allocation operating system mirror method | |
| CN108092813A (en) | Data center's total management system server hardware Governance framework and implementation method | |
| CN105940377A (en) | Methods, systems, and computer readable media for a cloud-based virtualization orchestrator | |
| CN104298550A (en) | Hadoop-oriented dynamic scheduling method | |
| CN110198339A (en) | A kind of edge calculations method for scheduling task based on QoE perception | |
| CN106293933A (en) | A kind of cluster resource configuration supporting much data Computational frames and dispatching method | |
| CN116668380B (en) | Message processing method and device of convergence diverter equipment | |
| CN109902919A (en) | Server assets management method, device, equipment and readable storage medium storing program for executing | |
| CN103947157A (en) | Apparatus and method for M2M communications | |
| CN109639791A (en) | Cloud workflow schedule method and system under a kind of container environment | |
| CN109150854A (en) | Dynamic and configurable communication protocol converting system based on XML file | |
| CN104850447B (en) | A kind of method of data capture based on High Level Architecture | |
| CN106209433B (en) | Application system energy-efficient deployment device towards framework under a kind of cloud environment | |
| Li et al. | Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution | |
| CN116384714B (en) | Comprehensive intelligent management method, system and storage medium for building construction site | |
| JP4872702B2 (en) | Distributed workflow simulation system, method, and program | |
| CN112948353A (en) | Data analysis method, system and storage medium applied to DAstudio | |
| CN109951330B (en) | Management method for automatically identifying equipment type and communication manager | |
| CN114090201A (en) | Resource scheduling method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180706 Termination date: 20181015 |