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Lua Workshop 2016: Strongly typed data models for Industrial Internet of Things - Rajive Joshi (RTI)

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Published on Dec 4, 2016

Building IIoT systems involves integrating independently developed components using shared strongly typed data models rooted in the physics of the application domain. Data Domain Specific Language (DDSL) is a pure Lua module that makes it easy and fun to work with strongly typed data models in Lua. It was borne out of a practical need for effectively working with data types constrained by an underlying data model in the dynamically typed Lua environment. It is being used with the Data Distribution Service (DDS), the predominant open standard connectivity framework for IIoT systems integration. Like an Interface Description Language (IDL), DDSL can be used to define data models; however, unlike an IDL the data models can be defined programmatically and incrementally, thus providing the foundation for automated data model mapping and machine learning. Data model instances are kept in sync with the underlying data model---when a model is changed, all the linked instances get updated. A newly added field is automatically initialized to the correct instance specific hierarchical path leading up to that field in the data model. This can be viewed as an automatically generated index for storage, and is used, for example, to access the fields when exchanging complex data types using DDS. DDSL has been applied to create data generators for automated testing; it can also be applied for specifying range constraints and units, for automated checking of data instance fields, and feeding templating engines. DDSL can also export the data models to IDL, or import data models defined in XML. This talk will provide the rationale behind DDSL, an introduction to data modeling with DDSL, and show a working demonstration of how it is being used to build data-centric distributed IIoT applications with Lua and DDS.

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