OPC Unified Architecture: Enabler of Future Solutions: On the grounds of my experience I have prepared a series of articles (an exploration catalog) on new scope of applications where OPC UA shall be recognized as a prerequisite. All of them have the common title pattern “OPC UA Makes <it> Possible”. This set of examples is an attempt to define a target scope for new R&D infrastructure or innovative undertakings.
The Exploration Catalog
IoT versus SCADA/DCS Data Acquisition Patterns: the term Internet of Things (IoT) is used in a variety of contexts where it is often misunderstood, because it can be replaced by other terms much better describing the matter we deal with or the definitions are not compliant with each other. The phrase “Internet of Things” started its life as the title of a presentation made in 1999 and aimed at explaining a new idea of radio frequency identification (RFID) in the context of the supply chain performance. It is clear that it doesn’t mean that someone has any right to control how others use the phrase, but my point is that a precise term definition is important for working together on: common rules, architecture, solutions, requirements, capabilities, limitations, etc. In practice having a common definition it is possible to check a selected technology, solution or product capabilities against requirements of the application entitled to use this term. The main goal of this article is to contribute to the community work aimed to distinguish the IoT applications domain features. The main challenge faced up is to narrow the definition to make it unambiguous and meaningful.
OPC UA Makes Process Observer Archetype Possible: Process Observer is a kind of a virtual layer, which is a “big picture” of the underlying process layer composed of unit data randomly accessible by means of a unified and standardized interface. It allows the process and business management systems, using international standards of data exchange to share data from plant floor devices. Process Observer is like a bridge connection between the plant-floor control and the process and business management levels.
OPC UA Makes Complex Data Access Possible: The Industrial IT domain is an integrated set of ICT systems. System integration means the necessity of the information exchange between them (the nodes of a common domain). ICT systems are recognized as a typical measure of processing information. The main challenge of deploying an Industrial IT solution is that information is abstract – it is knowledge describing a situation in the selected environment, e.g. temperature in a boiler, a car speed, an account balance, etc. Unfortunately machines cannot be used to process abstraction. It is also impossible to transfer abstraction from one place to another.
OPC UA Makes Highly Distributed Network Control Systems Possible: Nowadays, modern manufacturing automation systems have to be involved. Usually they consist of numerous different IT systems located at business management/operation and process control levels. To deploy the convergence the systems have to be integrated – must interoperate with each other. From integration we should expect improved performance as a result of synergy and macro optimization effects.
OPC UA Makes Global Security Possible: We can observe rapid development of globally scoped applications for domains like health, banking, safety, etc. The globalization process is also observed in control engineering. The secure transfer of process control data over the Internet must, therefore, be addressed as the most important prerequisite of this kind of applications.
OPC UA Makes Cloud Computing Possible: Cloud Computing is defined as a method to provide requested functionality as a set of services. Following the Cloud Computing idea and offering control systems as a service, there is required a mechanism created on the service concept and supported abstraction and virtualization – two main pillars of the Cloud Computing paradigm.
OPC UA Makes Smart Factory Possible: In this case “collaboration” is the key word. Analyzing the collaboration needs of the smart factory we must distinguish two dissimilar targets surrounding the factory: humans and applications. To make this collaboration well-defined in the information exchange and behavioral aspects, the collaboration platforms (e.g. SharePoint) and integration measures (OPC UA) must be integrated.
OPC UA Makes Smart User Interface Possible: It introduces a concept of semantic HMI that is an approach to relay the interface on discovering the meaning of process data using the metadata provided by plant floor measurement and control devices. Additionally, network-connected HMI needs special security precautions to be applied.
OPC UA Makes Production Traceability Possible: To use analyzers and track selected product and its ingredients parameters, complex data must be managed, i.e. created, transmitted, processed, and saved. To be useful, process data must be exposed in the context of well know semantics represented by the metadata.
OPC UA Makes Smart Utility Distribution Systems Possible: Following the concept of smart grids, more and more companies decide to start working on smart utility distribution systems (gas, water, chilly water, or even oil) to improve the performance and availability. The process is dispersed geographically and partially managed by independent operators. An active role of ultimate consumer is very important.
OPC UA at a Glance
OPC UA – Specifications: OPC Unified Architecture is described in a layered set of specifications issued by the OPC Foundation, that are broken into parts. It is purposely described in abstract terms and only in selected parts coupled (mapped) to existing technology on which software can be built. This layering is intentional and helps isolate changes in OPC UA from changes in the technology used to implement it.
Embedding Agile Principles as Contract Rules: It proposes a methodology framework that tightly couples agile management (to dynamically control the work scope and time framework) to workload tracking with the goal of maximizing the value for money.