The specific objectives of the project were the Process Industry Digital Transformation enabled by Cognitive Solutions that provide these industries flexibility of operation, improvement of performance across different indicators (KPIs) and state of the art quality control of its products and intermediate flows and finally to develop a methodology that defines the steps for the transformation of an automated process industry plant into a cognitive process plant based on knowledge models that integrate the information from planning, control and operation management system. Based on a solid open source digital foundation like FIWARE, CAPRI has created an open source blueprint of a cognitive automation platform, the CAP, that integrates our cognitive solutions developed, most of them defined as Key Exploitable Results (KERs) of the project. Our KERs have been included in the Innovation Radar. The KERs includes different Cognitive Solutions (from new sensors to process planning algorithms), the CAP, the 6P’s digital transformation methodology and the open data generated. Those KERs constitute the main deliverables of the project and the partners has established their approach to exploit them and let the outside world take advantage of them like the public available CAP blueprints for each three industrial sectors involved.
The main challenge in all the use cases have been related with the acquisition of the data, moving the data into the cloud to be accessible for all, but once the step of the digitalization of a plant is achieved the rest of the work starts to run very easy.
The market analysis of the solutions to be developed inside the project was realized as a preliminary version to all, with the objective of identifying the KERs. After the KERs were defined, the market analysis was done completely for the different KERs of the project.
For the project, have been defined three general KPIs to measure the improvements with the project, reduction of the use of raw materials in 5-20%, reduction of use of energy of 5%, and the reduction of CO2 footprint in 5%.
In the asphalt use case, have been developed 5 cognitive solutions, three of them, declared as KERs, thanks to these five solutions, the results achieved in the use case have been a reduction of use of raw materials around 18%, savings in the use of energy and the reduction of CO2 footprint around 16%.
The steel use case, has their own cognitive solutions, 5 too, two included in the innovation radar has KERs, with the help of all, the improvements have been a reduction of raw materials of 10%, energy 3% and CO2 footprint 3%.
The pharma use case, the improvements depend a lot of the product produced, and the reduction of use of raw materials can oscillate from 10 to 20%, reduction of energy consumption from 7 to 8%, and the CO2 footprint have been of the 5%. In the pharma use, two of the solutions deployed, have been included in the innovation radar as KERs.
Each of one the solutions deployed can be improved as the most of them are prototypes, so the improvement would be respect the durability and the accuracy of the models in the hard conditions of the industries.
The project has increased their external visibility disseminating intermediate results (9), journal papers, articles at congresses, explanatory videos, interviews, web updates (23), open access sharing of (50) results. Additionally, the project intensified its outreach through participation in (33) events, (3) trade fairs and clustering activities (SPIRE06, ENGINE and AI-CUBE) and launching a network of DiHs specialized in process industry (PIHUB).
