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Mathematical framework for recursive model-based system design

NONLINEAR DYNAMICS 2016年第1期84卷 223-236页

作者： Mabrok, Mohamed A. Elsayed, Saber Ryan, Michael J. Univ New S Wales Australian Def Force Acad Sch Engn & Informat Technol Canberra ACT 2600 Australia Zagazig Univ Fac Comp & Informat Zagazig Egypt Suez Canal Univ Fac Sci Dept Math Ismailia Egypt

In this paper, we introduce a mathematical framework that allows the designer to consider more of the proposed ideas and options in conceptual design phase into the design process. The proposed model allows for dynamical relationship between the system's high-level requirements and the detailed design parameters, where an optimization engine can optimize over the design parameters and variables for a given range in the requirement. This is done by proposing an input/output block structure named recursive design modular (RDM). The output of RDM is the functions that the system supposes to perform at particular level. The input of RDM is the design parameters that control the required behaviour through a set of mapping or transformation.

关键词： model-based system design systems engineering model-based system engineering

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Surrogate model-based cognitive digital twin for smart remote maintenance of fusion reactor: modeling and implementation

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NUCLEAR FUSION 2024年第12期64卷 126007-126007页

作者： Yao, Zhixin Wu, Huapeng Song, Yuntao Cheng, Yong Pan, Hongtao Wu, Muquan Li, Ming Qin, Guodong Wang, Qi Zhang, Xi Shenzhen Univ Coll Phys & Optoelect Engn Shenzhen 518060 Peoples R China Chinese Acad Sci Inst Plasma Phys Hefei Inst Phys Sci Hefei 230031 Peoples R China Lappeenranta Univ Technol Lappeenranta Finland Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Peoples R China

A remote maintenance robot system (RMRS) plays a critical role in safeguarding the fusion energy experimental device's security and stability. State-of-the-art intelligent technology such as cognitive digital twins (CDTs) is widely considered capable of improving complex equipment's performance and reducing management burden using a visualized system. However, the CDT virtual space cannot mirror the RMRS which is a kind of flexible multi-body system in real-time and with high fidelity. Therefore, we propose a CDT modeling method based on a surrogate model for the RMRS. Firstly, model-based system engineering is leveraged to build a structural modular architecture, which can decrease the modeling complexity of CDT and increase the modeling efficiency. Then, the surrogate models are self-learning within the CDT physical space, which reconstructs the RMRS's real-time dynamic performances and endows CDT with cognitive capabilities. Finally, after integrating the CDT system, a smart decision-making plan that compensates for the operation error is generated for RMRS's accurate control. We take a China Fusion engineering Test Reactor (CFETR) multi-purpose overload robot (CMOR) as an example to demonstrate the implementation process. According to the results, CDT can achieve real-time (230 ms time delay) high-fidelity (5 mm control error) monitoring and accurate control, and CMOR conducts smart maintenance based on the simulation results. This method improves the efficiency of remote maintenance and provides solutions for high-duty cycle time of CFETR, it can also be applied to other tokamak fusion energy devices.

关键词： cognitive digital twin model-based system engineering surrogate model error compensation-based precision control fusion reactor smart maintenance

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Architecting decentralized control in large-scale self-adaptive systems

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COMPUTING 2023年第9期105卷 1849-1882页

作者： Andersson, Jesper Caporuscio, Mauro D'Angelo, Mirko Napolitano, Annalisa Linnaeus Univ Vaxjo Sweden Ericsson Res Gothenburg Sweden IMT Sch Adv Studies Lucca Italy

Architecting a self-adaptive system with decentralized control is challenging. Indeed, architects shall consider several different and interdependent design dimensions and devise multiple control loops to coordinate and timely perform the correct adaptations. To support this task, we propose Decor, a reasoning framework for architecting and evaluating decentralized control. Decor provides (i) multi-paradigm modeling support, (ii) a modeling environment for MAPE-K style decentralized control, and (iii) a co-simulation environment for simulating the decentralized control together with the managed system and estimating the quality attributes of interest. We apply the Decor in three case studies: an intelligent transportation system, a smart power grid, and a cloud computing application. The studies demonstrate the framework's capabilities to support informed architectural decisions on decentralized control and adaptation strategies.

关键词： Reasoning framework model-based system engineering Multi-paradigm modeling Co-simulation

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A hierarchical approach to warehouse design

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2017年第21期55卷 6331-6343页

作者： Sprock, Timothy Murrenhoff, Anike McGinnis, Leon F. Georgia Inst Technol Sch Ind & Syst Engn Atlanta GA 30332 USA

The design of large complex systems, such as warehouses, requires multiple experts and analyses as well as methods to organise and integrate their knowledge. While there are many models for optimising individual aspects of warehouses, there is not, today, a comprehensive design methodology that incorporates and supports all of the design decisions and provides a method to effectively integrate the solutions to these subproblems into a complete warehouse system specification. In this research, we propose a hierarchical design decision support methodology based on decomposing the design problem into a set of subproblems and using a formal model of the system to integrate the solutions to these subproblems. The methodology enables a thorough search of the design space and the identification of many candidate designs for consideration by the design decision maker. The hierarchical design methodology is demonstrated with an example of designing a forward pick area.

关键词： warehouse design multi-disciplinary optimisation formal domain modelling SysML model-based system engineering

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Distributed and Real-time Integrated Simulation system on Avionics

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INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES 2017年第3期18卷 574-578页

作者： Zhou, Yaoming Liu, Yaolong Li, Shaowei Jia, Yuhong Beihang Univ Sch Aeronaut Sci & Engn Beijing 100191 Peoples R China Rhein Westfal TH Aachen Inst Aerosp Syst ILR D-52062 Aachen Germany

In order to achieve iterative design in early R&D period, a Distributed and Real-time Integrated Simulation system for avionics based on a model-based systems engineering (MBSE) method is proposed. The proposed simulation system includes driver, simulation model, monitor, flight visual model and aircraft external model. The effect of this simulation system in iterative design and system verification is testified by several use cases. The result shows that the simulation system, which can play an important role in iterative design and system verification, can reduce project costs and shorten the entire R&D period.

关键词： Simulation system Distributed model-based system engineering Avionics

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Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2024年

作者： Zhang, Chao Jing, Yanzhen Zhou, Guanghui Yan, Hairui Chang, Fengtian Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn Xian 710054 Peoples R China Changan Univ Sch Construct Machinery Xian Peoples R China

In the context of Industry 4.0, model-based definition (MBD) has been an effective approach to creating 3D models contained all heterogeneous information needed to define a product, which proposes new challenges for the traditional subassembly identification method that only considers the geometric information of a product in assembly sequence planning. To bridge the gap, we propose a novel heterogeneous knowledge graph-driven subassembly identification method to enhance assembly sequence planning in the model-based systems engineering (MBSE) paradigm. Specifically, a heterogeneous knowledge graph is first constructed based on the shape information and engineering details of an MBD model. Next, an ensemble deep learning approach that combines graph neural networks with the community detection algorithm is proposed to effectively detect the subassembly from the MBD model. Finally, the feasibility and effectiveness of the proposed method are demonstrated through an example of car suspension subassembly identification, providing insight into the industrial implementation.

关键词： Knowledge graph ensemble deep learning model-based definition model-based system engineering subassembly identification

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Building the foundations for 'MDE as Service'

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IET SOFTWARE 2017年第4期11卷 195-206页

作者： Basso, Fabio Paulo Oliveira, Toacy Cavalcante Werner, Claudia M. L. Becker, Leandro Buss Inst Fed Educ Ciencia & Tecnol Rio Grande Sul Bento Goncalves RS Brazil Univ Fed Rio de Janeiro Syst Engn & Comp Sci Dept Rio De Janeiro RJ Brazil Fed Univ Santa Catarina UFSC BR-88040900 Florianopolis SC Brazil

Surveys on the model-Driven engineering (MDE) adoption agree that resources such as model transformations need customisation before introduction in a target context. This study highlights an emerging scenario for reuse named MDE as Service' (MDEaaS), i.e. a business opportunity characterised by requests from application-independent contexts for customisations in MDE resources. In response for the increasing interest of some professionals in this opportunity and due to the absence of studies establishing reuse foundations for this scenario, it is presented here the authors' background in the Feature-Oriented model-Driven Architecture (FOMDA) approach: an implementation of MDEaaS assisted by an integrated reuse mechanism to test, compose, check the consistency, and adapt these resources. By including an analysis of three cross-application domains composed by resources developed in support for model-based systems engineering, this work shows the suitability and limitations of this approach. They therefore contribute to the foundation of MDEaaS through a longitudinal study, including key findings from their analysis of this reuse scenario.

关键词： software engineering cloud computing MDE as service model-driven engineering model transformations MDEaaS business opportunity application-independent contexts MDE resources FOMDA approach integrated reuse mechanism cross-application domains model-based system engineering

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Handling complexity of large high-level specifications in simulation environment: the case of transformational model-battle management

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JOURNAL OF DEFENSE modelING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS 2024年

作者： Alshareef, Abdurrahman Kim, Doohwan King Saud Univ Coll Comp & Informat Sci Dept Informat Syst POB 2454 Riyadh 11451 Saudi Arabia RTSync Corp Chandler AZ USA

modeling system requirements at a high level can significantly facilitate the communication of mental models across highly heterogeneous entities. Two major challenges may arise during such a process. The first is the degree to which details of the higher-level specifications can capture and effectively handle. Especially, when the model contains more nuanced descriptions of parallel execution and temporal pacing. The second challenge arises when realizing such specifications downstream due to ambiguities and incompleteness encountered in higher-level semiformal artifacts. We propose a formal specification and transformation of higher-level artifacts, particularly in the operational activity model of the Department of Defense Architecture Framework (OV-5 DoDAF). We create an isomorphic activity model corresponding to each activity in the Transformational model-Battle Management. Then, we generate a code for simulating the models as Markov Discrete Event system Specifications. We demonstrate the size and other aspects of the experiments that can be conducted based on the generated simulation and the level of complexity in such an approach. We highlight aspects of managing complexity using model transformations and code generation techniques in a full-cycle model-based system engineering approach, expediting the process toward arriving at the concrete realization of simulation models that only originated from minimal high-level metamodels and artifacts.

关键词： Activity diagrams model-based system engineering system modeling language theory of modeling and simulation transformational model-battle management Unified modeling Language

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A Survey of Advanced Information Fusion system: from model-Driven to Knowledge-Enabled

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DATA SCIENCE AND engineering 2023年第2期8卷 85-97页

作者： Zhu, Di Yin, Hailian Xu, Yidan Wu, Jiaqi Zhang, Bowen Cheng, Yaqi Yin, Zhanzuo Yu, Ziqiang Wen, Hao Li, Bohan Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Adv Technol Small & Medium UAVs Minist Ind & Informat Technol Nanjing 210016 Peoples R China Yantai Univ Coll Comp & Control Engn Yantai 264005 Shandong Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Aerosp Engn Nanjing 210016 Peoples R China

Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the development of various fields and engineering technologies and provides various knowledge fusion and knowledge empowerment interfaces. At the same time, advanced system engineering (SE) takes model-based system engineering (MBSE) as the core to realize formal modeling and process analysis of the whole system. The two complement each other and are the key technologies for the transition from 2.0 to 3.0 in the era of artificial intelligence and the transition from perceptual intelligence to cognitive intelligence. This survey summarizes an advanced information fusion system, from model-driven to knowledge-enabled. Firstly, the concept, representative methods, key technologies and application fields of model-driven system engineering are introduced. Then, it introduces the concept of knowledge-driven knowledge engineering, summarizes the architecture and construction methods of advanced knowledge engineering and summarizes the application fields. Finally, the combination of advanced information fusion systems, development opportunities and challenges are discussed.

关键词： system engineering Knowledge engineering Knowledge graph model-based system engineering Information system

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model-based Automated Safety Analysis Method for Safety-critical system 5

Model-based Automated Safety Analysis Method for Safety-crit...

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5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

作者： Xu, Xinyan Wei, Ran Wang, Haochi Dalian Univ Technol Sch Control Sci & Engn Dalian Liaoning Peoples R China

ISBN: (纸本)9798350363272;9798350363265

In safety-critical systems, the repercussions of system failures can be dire, encompassing significant losses in terms of human lives, property damage, and environmental impact. As systems grow in complexity, the burden of conducting safety analyses escalates as well. To streamline the system development process and alleviate this workload, automated safety analysis methods are indispensable. In this paper, we introduce an innovative automated safety analysis technique that hinges on the iterative utilisation of Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) - termed the FMEA and FTA iterative analysis (FMEA-FTAia). Central to FMEA-FTAia is the integration of the system model with the system failure model, establishing a cohesive linkage to the fault tree model for unified change management. While FMEA delves into an exhaustive examination of component failure modes, FTA pinpoints vulnerabilities within the system. By integrating FMEA and FTA, a comprehensive safety analysis framework is formed. Additionally, in this article we propose a novel fault tree generation methodology. Furthermore, we discuss a model-based tool - FMEA-FTAia tool - designed to support the implementation of FMEA-FTAia and facilitate efficient safety analysis processes. And we designed the Analysis Architecture Metamodel (SAAM) to support FMEA-FTAia tool.

关键词： FMEA FTA Safety-critical system model-based system engineering

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