Technology

CAPRI project will develop and promote digital transformation through a Cognitive Automation Platform (CAP) involving a Reference Architecture with four levels of cognitive human-machine interaction and a set of reference implementations both commercial and open source. This Cognitive Automation Platform will coordinate a set of specific cognitive solutions at the various levels of functional organization of the automation (from planning to sensors).

Smart IoT connection

Smart Events processing

Smart Knowledge modelling

Smart Decision support

Smart Cognitive Components

· Improvement of online monitoring and innovative control technologies: process performance and flexibility | maintenance needs | product quality

· Digital retrofitting of assets, data analytics, real-time capability, detect deviations and adjust operations

· Low-cost sensors for on-line product quality, simulations for analysis, decision-making to optimise and enhance resources

· Replicability and scalability of all technologies

Cognitive Automation Platform

Altogether these components working in prefect synchronisation constitute the COGNITIVE AUTOMATION PLATFORM (CAP). CAP platform through a modular architecture will support knowledge models, machine learning systems and different cognitive modules of planning, operation and control.

The Architecture

Objectives

The Process Industry transforms raw material feedstock into intermediate and end-user products. Thus, it represents the starting of almost all value chains.

CAPRI tries to deliver a series of challenges that Process Industry faces such as: Feedstock Variations, Energy Efficiency, Flexibility, Traceability, Energy and Raw Materials and Quality, by developing and testing Cognitive solutions technology interacting with the CAP platform.

Cognitive Automation Platform

The overall objective of CAPRI is to develop, test and experiment an innovative Cognitive Automation Platform (CAP) for achieving Process Industry Digital Transformation enabled by Cognitive Solutions that provide existing process industries flexibility of operation, improvement of performance across different indicators (KPIs) and state of the art quality control of its products and intermediate flows

  
Sensors
  
Control
  
Operation
  
Planning

  
Quality
  
Flexibility
  
Performance

Technical Objectives

Process Industry Digital Transformation & Automation

Digital technologies like data collection, storage and knowledge extraction help provide detailed insights into process control and resource availability.

Improved performance and flexibility in the process industry

Digitalization of process industries has a tremendous potential to dramatically accelerate change in resource management, improve their performance and flexibility and in the design and the deployment of disruptive new business models

Next generation process industry plans

Digital technologies are also a key enabler of autonomous operation of plants based on embedded cognitive reasoning, while relying on high-level supervisory control as well as providing support for optimized human-driven decision-making.