RP1.3 Adaptive process automation and control for a sensing shopfloor – Intelligent plug-and-play systems will feature sensing and actuator structures integrated with adaptive control systems supported by active compensation features for fully optimising the performance of the manufacturing systems in terms of autonomy, reliability and efficiency along their lifecycle. This will enable the development of embedded distributed control systems architectures with end-to-end device-integration capabilities as well as real-time data processing and KPI calculation capabilities. RP1.3 will implement key ICT recommendations IN9 Big data analysis and real-time decision making, IN10 Intelligent visualisation of big data, and IN11 High-performance simulation and analysis in the cloud. Industrial challenges Potential outcomes Ensuring competitive position through efficiency of Improved productivity and zero ramp-up time of manufacturing equipment; production processes; Increasing precision performance by improving Adaptive, high-performance control solutions able robustness against external influences; to deliver zero-defect processes and optimised Providing the capability to measure cost-effectively performances of manufacturing processes all critical parameters of manufacturing processes in considering dynamic requirements and surrounding real time; conditions; Ensuring an increased compatibility and wide Improved and more predictable performance of interoperability of plug–and-play systems modular manufacturing systems their lifecycle, covering – architecture, interface mechanism, programming reliability, maintainability, cost and energy interfaces, etc.; and efficiency; Providing the capability to process real-time inputs Improved motion accuracy and robustness in and process models to create an executable process mechatronic systems; and model integrated with the controller. Improved accuracy of the process zero scrap and – reworking through comparison with models and – complete adaptation of the machine and process. ICT research requirements Automatic adaptation of controllers and automatic communication to backend systems such as MES approaches to build low-power embedded and ERP. distributed control systems architectures; Real-time simulation embedded in the control involving high-performance computing; Integration of plug-and-play components with the Ambition Radar TRL production process; Data-processing and data-mining technologies Impact Factor capable of extracting the knowledge and model of machine and process parameters across the 2.0 lifecycle; Horizon 2020 Software capable of monitoring KPIs and lifecycle By 2016 By 2018 By 2020 parameters;
RP1.3 – Adaptive process automation and control for a sensing shopfloor Intelligent plug-and-play systems will feature sensing and actuator structures integrated with adaptive control systems supported by active compensation features for fully optimising the performance of the manufacturing systems in terms of autonomy, reliability and efficiency along their lifecycle. This will enable the development of embedded distributed control systems architectures with end-to-end device-integration capabilities as well as real-time data processing and KPI calculation capabilities. RP1.3 will implement key ICT recommendations IN9 Big data analysis and real-time decision making, IN10 Intelligent visualisation of big data, and IN11 High-performance simulation and analysis in the cloud. Industrial challenges Ensuring competitive position through efficiency of manufacturing equipment; Increasing precision performance by improving robustness against external influences; Providing the capability to measure cost-effectively all critical parameters of manufacturing processes in real time; Ensuring an increased compatibility and wide interoperability of plug–and-play systems – modular architecture, interface mechanism, programming interfaces, etc.; and Providing the capability to process real-time inputs and process models to create an executable process model integrated with the controller. Potential outcomes Improved productivity and zero ramp-up time of production processes; Adaptive, high-performance control solutions able to deliver zero-defect processes and optimised performances of manufacturing processes considering dynamic requirements and surrounding conditions; Improved and more predictable performance of manufacturing systems their lifecycle, covering reliability, maintainability, cost and energy efficiency; Improved motion accuracy and robustness in mechatronic systems; and Improved accuracy of the process – zero scrap and reworking – through comparison with models and complete adaptation of the machine and process. ICT research requirements approaches to build low-power embedded distributed control systems architectures; Real-time simulation embedded in the control involving high-performance computing; Integration of plug-and-play components with the production process; Data-processing and data-mining technologies capable of extracting the knowledge and model of machine and process parameters across the lifecycle; Software capable of monitoring KPIs and lifecycle parameters; Automatic adaptation of controllers and automatic communication to backend systems such as MES and ERP. Ambition Radar TRL Impact Factor 2.0 Horizon 2020 By 2016 By 2018 By 2020
001-ActionPlanTD33FinalRoadmap.docx