Keyword: DSL
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WEA3O03 Towards Building Reusability in Control Systems - a Journey controls, TANGO, framework, target 593
 
  • P. Patwari, A.S. Banerjee, G. Muralikrishna, S. Roy Chaudhuri
    Tata Research Development and Design Centre, Pune, India
 
  Development of similar systems leads to a strong motivation for reuse. Our involvement with three large experimental physics facilities led us to appreciate this better in the context of development of their respective monitoring and control (M&C) software. We realized that the approach to allowing reuse follows the onion skin model that is, building re-usability in each layer in the solution to the problem. The same motivation led us to create a generic M&C architecture through our first collaborative effort which resulted into a fairly formal M&C domain model. The second collaboration showed us the need to have a common vocabulary that could be used across multiple systems to specify respective domain specific M&C solutions at higher levels of abstraction implemented using the generic underlying M&C engine. This resulted in our definition and creation of a domain specific language for M&C. The third collaboration leads us to imagine capturing domain knowledge using the common vocabulary which will substantially further reuse, this thought is already demonstrated through a preliminary prototype. We discuss our learning through this journey in this paper.  
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WEB3O05 Why Semantics Matter: a Demonstration on Knowledge-Based Control System Design software, framework, PLC, controls 615
 
  • W. Pessemier, G. Deconinck, G. Raskin, P. Saey, H. Van Winckel
    KU Leuven, Leuven, Belgium
 
  Knowledge representation and reasoning are hot topics in academics and industry today, as they are enabling technologies for building more complex and intelligent future systems. At the Mercator Telescope, we've built a software framework based on these technologies to support the design of our control systems. At the heart of the framework is a metamodel: a set of ontologies based on the formal semantics of the Web Ontology Language (OWL), to provide meaningful reusable building blocks. Those building blocks are instantiated in the models of our control systems, via a Domain Specific Language (DSL). The metamodels and models jointly form a knowledge base, i.e. an integrated model that can be viewed from different perspectives, or processed by an inference engine for model verification purposes. In this paper we present a tool called OntoManager, which demonstrates the added value of semantic modeling to the engineering process. By querying the integrated model, our web-based tool is able to generate systems engineering views, verification test reports, graphical software models, PLCopen compliant software code, Python client-side code, and much more, in a user-friendly way.  
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