3DEXPERIENCE PLATFORM FOR SYSTEMS ENGINEERING
Imagine Engineer and Experience Cyber-Physical Systems
The soul of tomorrow's smart product innovations originates from an intelligent core of embedded systems and electronics. But while advancing smarter products, innovators must also manage complexity, optimize performance, and ensure product safety. Systems engineers rely on the 3DEXPERIENCE platform for systems engineering from Dassault Systèmes to increase their competitiveness
Cyber-physical systems involve entirely new capabilities for people and machines. In cyber-physical systems, physical and software components are deeply intertwined, able to operate on different spatial and temporal scales, exhibit multiple and distinct behavioral modalities, and interact with each other in ways that change with context.
It is necessary to make a paradigm shift into digital transformation to support current and future trends. The following business enablers need to align with current and future trends:
1. Digital Thread: This describes the framework which connects data flows and produces a holistic view of an asset's data across its product lifecycle from development, manufacturing, in-service operation, retirement. Typically, the digital thread connects digital twins, digital models of physical assets, or groups of assets.
2. Digital Twin: This is the virtual representation of properties and behavior and is a virtual replica of systems or processes used to anticipate and optimize performance along with maintaining digital synchronization with systems or processes.
3. Model Based Systems Engineering (MBSE): This is a systems engineering approach that focuses on creating and exploiting domain models as the primary means of information exchange between engineers, rather than on document-based information exchange.
MBSE is the first building block of the digital value chain.
The Cyber-Physical Systems Experience enables all the Dassault Systèmes’ industry solution experiences, which are based on the 3DEXPERIENCE platform. It generalizing systems engineering for developing the “Internet of Experiences” – the smart and autonomous experiences which address System of Systems Engineering, System Engineering and Discipline Engineering to digitally connect products, nature and life in the physical world.
The key values are:
- Modelling & Simulation (Mod-Sim): The ability to not only design and model but to simultaneously simulate the model for validation, all in a methodological framework.
- Federation: The ability to:
- Federate system engineering data, irrespective of the authoring tool, with end-to-end traceability for compliance assessment and impact analysis in the case of an engineering change.
- Federate discipline engineering within a system architecture to master interfaces and predict system behavior in order to accurately specify the solution under design.
- Federate the system engineering experiences from local to global, irrespective of the authoring tool, in order to experience a digital replica of the cyber-physical system.
- Governance: In a regulatory context, the capability to maintain in configuration, an authoritative single source of truth for compliance assessment with full control of the system engineering activities of the project.
- Openness: Leadership in standards definition to support state-of-the-art modelling and simulation, and the support of interoperability tools for semantic integrity and exchanges within the value chain.
Systems Engineering is a transdisciplinary field of engineering and engineering management that focuses on how to design, integrate, and manage complex systems across their lifecycles.
Systems Engineering in a systematic approach that provides a global view and helps to:
- Manage complexity, master interfaces and reduce risks.
- Better understand stakeholder needs to conceptualize real world changing issues.
- Deliver quality and robust products that meet the stakeholder needs with optimized efficiency.
- Accelerate collaboration within the value chain and avoid unnecessary rework loops.
- Manage and control project costs and time scales by integrating system engineering activities with project management.
Watch the video below for and introduction to system engineering for beginners.
In the system development process many challenges and issues emerge which need to be addressed:
- Lack of control on the engineering of the project: No single source of truth of Engineering Project data to make relevant decisions.
- Inefficient requirements engineering: An uncontrolled number of ambiguous and redundant requirements.
- Reactive approach rather than proactive: Lack of understanding of system behavior before prototyping.
- Inconsistencies between disciplines: Disciplines operate in silos, resulting in lack of control over dynamic behavior of interfaces.
- Discontinuities throughout the supply chain: Exchange with supply chain is document based and therefore cumbersome.
- Costly compliancy process: With no single source of truth of engineering data, compliancy reports are developed at the end of the development phase with high risk of incompleteness and errors.
Model-Based Systems Engineering (MBSE), as a cross-discipline collaborative activity, is a strong business enabler to address industry issues and to align organizations with current and future trends.
Model-Based Systems Engineering is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later lifecycle phases.
MBSE is simply a set of visual representations based on a consistent and complete system model, which reflect multiple viewpoints of the system. These representations can be either static or dynamic (simulation), descriptive or predictive. It improves understanding, early in the development phase, system behavior as a functional digital twin of the product.
MBSE benefits include:
- Better understanding of the mission, scenarios and stakeholder needs.
- Helps to define a consistent and complete system specification for the product designers through behavioral and structural analysis.
- Specify with accuracy not only the static description of the interfaces, usually described in requirements, but also the dynamic exchange of the interfaces that is inherent to complex systems.
- Prevent costly late rework by understanding system behavior upfront, before prototypes are available.
- Support cross-disciplinary collaboration around a system model based on dedicated views per engineering concern.
The Dassault Systemes landscape for Systems Engineering landscape includes the following layers:
- System of Systems / Enterprise layer: Understanding the missions, scenarios, usage as a specification for the systems & organizations.
- System layer: Defining the functional behavior, scenarios as a specification for the solution design system.
- Solution layer: Designing the solution from global to detail, as a product with components (hardware, software, parts) considering the functions as both control and plant behaviors.
- Implementation layer: Developing the discipline-specific components as specified in the solution layer.
The 3DS Portfolio for Cyber-Physical systems, also enables program/project development (variants, change, configuration, scheduling, tasks, workflows) and Systems Engineering activities which are important ingredients for mastering product quality and performance and for controlling program/project cost and delays.
Multiple integrated Roles and Apps support Systems Engineering:
In this scenario, starting with the secure but open 3DExperience platform, where all stakeholders can access up to date accurate information, a new requirement is introduced to deliver a safer vehicle with a 5 Star rating based on the European New Car Assessment Program standard.
To realize this safety requirement, an advanced driver assistance system with software integrated into the sensors and electronic control units must be developed.