This is the fourth in a series of technical notes describing the application of Model-Based Systems Engineering (MBSE) to the specification, design, procurement and evaluation of an Internet-of-Things (IoT) system. One advantage of an object-oriented modeling language such as SysML is that it becomes simpler to compose a model into a larger context. This section uses the SysML Smart Home model created in the first three sections and connects it to a Smart Grid energy system, which communicates energy pricing information to the Smart Home. Guided by this information and user preferences, the Smart Home shifts consumption to lower cost periods, in addition to the savings realized by intelligent room-by-room temperature control. The ParaMagic parametric solver tool uses stochastic modeling to predict sensitivity to low period energy costs and availability.

Smart Home Interconnection with External Systems

interconnections

Monte Carlo simulation results of Smart Home/Smart Grid energy cost savings

montecarlo

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Dirk Zwemer

Dirk Zwemer

Dr. Dirk Zwemer (dirk.zwemer@intercax.com) is President of Intercax LLC (Atlanta, GA), a supplier of MBE engineering software platforms like Syndeia and ParaMagic. He is an active teacher and consultant in the field and holds Level 4 Model Builder-Advanced certification as an OMG System Modeling Professional.