Entity Types and Message Structures Sample Clauses

Entity Types and Message Structures. 9 2.5.1 Data Source Entities 10 2.5.2 Data Mining Tool Entities 10 2.5.3 Model and Optimisation Entities 10 2.5.4 Data Output Entities 10 2.5.5 Message Structures for Entities 11 2.6 Information Security 11 2.7 Robust Module Design 12 3 Conclusion 13 References 14 1 A r c h i te ct ur a l Re q u i re m e n t s a nd C or e A s pe c t s Plant-wide industrial process control and monitoring applications face challenges from system complexity as well as from multi-disciplinary networked system integrations. The distributed control systems used in production are typically vendor- and application-specific, which makes it challenging to integrate into plant-wide control functions. Production processes may also span beyond one single plant, which introduces new requirements on system integrations in order to optimise production beyond the local processes. Further challenges may arise from the synchronisation of possibly conflicting data and events, e.g., combining estimated values with actual measurements. A traditional periodic control approach (that scans or queries for values and then decides its control actions) may prove complex, rigid and laborious to implement, especially if several point-to-point connections to other systems need to be implemented and maintained.
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Entity Types and Message Structures. The COCOP system consists of entities (also called components or modules). The entities have various types as given in the following table. Each entity type is explained in the coming subsections. The entities and their associated APIs and message structures will be detailed during the project and described in the future deliverable D3.7

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