Abstract
Data Distribution Services (DDS) are emerging as communication systems in manufacturing environments. One of the key features of a DDS based system is the ability to regain performance levels after the introduction or removal of a DDS participant. In implementing a DDS participant to an existing system, message transport speed and message latency is often sacrificed due to protection problems in OEM software. Validity and suitability for integration of OpenDDS specifically, a manufacturing system is evaluated by defining two implementation scenarios; a flexible approach with a dedicated DDS participant application, and a high speed approach integrating the OpenDDS API directly in the target application. The system is validated by monitoring performance, efficiency and robustness in use and implementation. This result is part of a system architecture, developed for project Smart Industrial Robotics (SInBot), that focuses on maximizing the efficient use of mobile industrial robots during medium sized production runs. This modular system architecture is based on distributed intelligence and decentralized control to enable online reconfiguration of industrial robots in manufacturing facilities.
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