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EN
Communication is an essential requirement for collaborative manufacturing systems. However the diversity of communication media and protocols in machine tools, automation equipment, and associated proprietary software, presents a challenge for enabling capable, extensible and re-configurable process monitoring systems. Additionally, as process control systems evolve from centralised hierarchical structures to decentralised heterarchical communities, enabling media and tools are required to provide interoperability between systems and subsystems. The focus of this research is to introduce a manufacturing decentralised process monitoring architecture that utilises a service-oriented architecture framework for network-wide dynamic data acquisition and distribution. The system design is created using a combination of service-oriented architecture topology and technical modelling. Service-oriented communication structure and capability is given particular focus, resulting in a comparative study of message structures and communication speeds. The resultant system is modular in structure, reconfigurable, network-distributable, interoperable, efficient, and meets real-time requirements.
EN
The ability for manufacturing organisation to be responsive to changing market conditions is imperative for sustainable market competitiveness, and enabling self preservation. Responsive behaviour requires the incorporation of not only robust sustainable manufacturing process chains, but the functional capacity to facilitate reconfiguration and adaption. Manufacturing process chains require process monitoring and condition based monitoring systems to achieve high accuracy manufacturing systems, sustainable production capability, and resource efficiency. The focus of this research is aimed at developing a novel data interoperability architecture to enable the creation of reconfigurable process monitoring systems. To achieve reconfigurable process monitoring capability an information communication paradigm known as agent based design is reviewed, and an emerging agent based standard known as MTConnect is also reviewed. Through this research a novel data interoperability system is developed and defined to enable dynamic data acquisition for reconfigurable process monitoring. A case study is carried out to demonstrate the validity of the architecture to achieve multi data stream unification. This case study demonstrates the ability to actively condition monitor a HURCO VM2 three axis CNC machine dynamically, through the measurement of machine energy requirements and vibration, which are examples of process variables associated with condition based machine monitoring.
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