Model Based System Engineering - an introduction
Today’s agenda for product and process innovation has become very dependent on the application of Model Based System Engineering in all phases of product development. In this, the increasing importance of mechatronics mandates a close interconnect between mechanical and controls engineering.
Today’s agenda for product and process innovation has become very dependent on the application of Model Based System Engineering in all phases of product development. In this, the increasing importance of mechatronics mandates a close interconnect between mechanical and controls engineering.
Model Based System Engineering relies on system level models to simulate the overall performance and behavior of new intelligent products made of complex interactions between mechanical, hydraulic, pneumatic, thermal and electric/electronic phenomena. This enforces collaboration across multiple engineering departments that develop models for components and subsystems, and system level engineering.
Additionally these system level models need to be shared as “plant” models, to accelerate model based controls engineering for embedded software. Such collaboration needs to extend to suppliers, that take an increasing responsibility in overall product innovation and development. The implementation of Collaborative Model-Based Engineering relies on the ability to share system data and models between all stakeholders in the product development process.
LMS Imagine.Lab System Data Management (SysDM) is a solution to manage system models and data originating from LMS Imagine.Lab AMESim and other tools for system simulation, to support collaborative model based system engineering. System simulation data and models can be organized with a customer defined information model, facilitating classification, query, and retrieval according to engineer relevant schemas . “Version” management enables life cycle management of the data throughout the product development cycle. The management of multiple representations of components and subsystems in a system is enabled with “variant” management, allowing the instantiation of a system model, function of the stage of development, and the purpose of the simulation. Role based access control supports the implementation of various collaboration workflows. Overall, it is a cornerstone to knowledge capitalization for a development organization’s application of model based system engineering.m Data Managemenata Management Solution for Model-Based Engineering.
LMS Imagine.Lab SysDM
Support collaboration workflows, and knowledge capitalization for model based system engineering
ORGANIZE: Apply a user defined information model to organize system data and models
- Object approach for hierarchical handling of system models and related data, such as parameter sets, scripts, experiments as virtual elements and collections in support of Model-Based Engineering.
- Domain or organization-relevant classification and visualization of system models and data.
- Intuitive search and retrieval of system models and data in data bases.
CONTROL: Implement “version” and “variant” management for full data and models traceability
- Version control features for data/model lifecycle management.
- Variant management to manage multiple instances of component subsystem and system models, function of stage of product development and purpose of simulation.
SHARE: Implement collaboration workflows with role based access control
- Define user access rights to system models and data, based on roles, function, responsibilities.
- Role-based view and access control to the data – according to specific user’s profile.
- Implement collaboration workflows, including for check-in and check-out of data, validation and upload of new versions, syndication to updates of models and data, etc…
USE & CAPITALIZE : Put your know-how and resources for more effective and efficient product development
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"LMS Imagine.Lab System Data Management is a cornerstone to further increase the effectivity of simulation and enhances the collaboration in our diesel systems development. It also facilitates simulation model re-use for system engineering across multiple development projects."
Dr. Sebastien Kanne, Manager Diesel Systems Entwicklung, Bosch.
