The data model Syndeia uses for the Digital Thread is a graph, a collection of vertices and edges, each of which can have a name, type and properties (edges can also have a direction). In our case, we have all of those. Referring back to Figure 1, Part 1, the reader can see why this
In the first post in this series, we considered the relationship between Data Science and the Digital Thread. In this post, we will discuss what need to put these ideas into practice. First, obviously, is data. We want all the data about the system and a way to get to it. For that, I’m going
In the past year, Data Science has been getting a lot of play in the Systems Engineering world. Digital Transformation offers an enormous opportunity in the development of complex systems, but only if we can handle the enormous datasets that accompany real-world projects. My objective in this blog series is to demonstrate some practical approaches
One area in the biomedical and healthcare domain where MBSE has made significant progress is in medical device design and manufacture. At the same time, device suppliers use modern PLM (product lifecycle management) and CAD (computer-aided design) like other organizations engaged in complex engineering problems. The first figure below shows the SysML structural decomposition of
This blog post introduces the second installment in our series of notes outlining different scenarios for using Syndeia 2.0 to generate, connect, and compare Simulink and SysML models. Part 1 showed how SysML block and activity structures can be used to generate Simulink model reference structures, including both atomic and multi-signal ports. Part 2 will describe how
Efficiency in healthcare delivery has long been a target of systems engineering and operations analysis effort. Improvements in emergency room care, for example, can lead to better outcomes and better patient experience while reducing the cost of care. In this post, we apply simple parametric analysis to testing medical facility staffing and supply against requirements,
In this fifth and final installment, we look at two examples from the important domains of CAD and simulation to illustrate the “Internet-of-Tools” concept as applied to our Smart Home Internet-of-Things model. In the first example, a CAD model is linked to structural blocks in the SysML model of the 4 Room Smart Home, so that changes
Healthcare, in the US and globally, faces a challenge: how to offer a broader range of preventative, diagnostic and therapeutic services to a greater number of consumers without a proportionate increase in cost or decline in quality. Systems Engineering can help address this challenge, but only if we accept that healthcare involves a wide range
A crucial thread in enabling model-based systems engineering (MBSE) for next-generation complex systems is to analyze system architecture by means of simulations and verify requirements continuously during design and development phases. The general steps in this iterative simulation-based design approach are as follows: Define system architecture (design model) Create a simulation model Run the simulation
The Internet of Things (IoT) holds enormous promise of new capabilities for users and new opportunities for businesses. It also presents enormous challenges to systems engineers. Model-Based Systems Engineering (MBSE) potentially provides an efficient way to address those challenges, being holistic, integrated, flexible and object-oriented. To explore this promise, Intercax has started a series of