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Process Industry (PI e.g. Steel, Metals, Chemicals, Cement, Asphalt,Ceramics) is one of the leading sectors of the world economy, characterizedhowever by intense environmental impact, and very high energy consumption. Inspite of a traditional low innovation pace in PI, in the recent years a strongpush at worldwide level towards the dual objective of improving the efficiencyof plants and the quality of products, significantly reducing the consumptionof electricity and CO2 emissions has taken momentum. Digital Technologies(namely Smart Embedded Systems, IoT, Data, AI and Edge-to-Cloud Technologies)are enabling drivers for a Twin Digital-Green Transition, as well asfoundations for human centric, safe, comfortable and inclusive work places.Currently, digital sensors in plants produce a large amount of data which inmost cases constitutes just a potential and not a real value for ProcessIndustry, often locked-in in close proprietary systems and seldomly exploited.Digital technologies, with process modelling-simulation via digital twins, canbuild a bridge between the physical and the virtual worlds, bringing innovationwith great efficiency and drastic reduction of waste. In accordance with theguidelines of Industrie 4.0, the H2020 funded CAPRI project aims to innovatethe process industry, with a modular and scalable Reference Architecture, basedon open source software, which can be implemented both in brownfield andgreenfield scenarios. The ability to distribute processing between the edge,where the data is created, and the cloud, where the greatest computationalresources are available, facilitates the development of integrated digitalsolutions with cognitive capabilities. The reference architecture is beingvalidated in the asphalt, steel & pharma pilot plants, allowing the developmentof integrated planning solutions, with scheduling and control of the plants.

An Edge-Cloud based Reference Architecture to support cognitive solutions in the Process Industry