Automatic Data and documents Analysis to enhance human-based processes
Type of Project: 
Funding Body: 
Regione Toscana (POR CreO FESR 2014-2020 - Asse 1 - Azione 1.1.5 - Bando 2)
Grant Agreement: 
CUP D55F17000290009
Start Date: 
End Date: 
Role of ILC: 
Project Coordinator: 
ILC Research Unit Chair: 

Manufacturing companies, which produce complex products and/or manage large plants, produce a consistent flow of data and information throughout the company processes, from the acquisition to the production, up to the maintenance of the products themselves.

A significant part of this amount of data consists of texts, graphics and images obtained as a transposition of the know-how of human personnel, which is at the center of all production processes.

Collecting and retrieving all these data and information easily and quickly is vital for speeding up business internal activities.

For instance, during the design phases of a new product, it is useful to be able to identify - in past projects - specifications, data and information contained in lessons learned, risk analyses etc. to carry out more reliable and innovative design activities.

In the case of maintenance of large plants, it is important for operators to have immediate access to the information necessary to carry out their activities quickly and effectively.

In addition, the tasks of tracking and recording information are essential for the certification of the interventions carried out.

Finally, in the current scenario, which often sees companies also compete on the quality level of their offer, another crucial aspect is represented by testing activities, in which the effectiveness of the action depends on the correct management of the data and information available.

The needs of manufacturing companies, however, clash with the complexity of knowledge management, due to both the large quantity and the heterogeneity of the data and documents to be processed.

The technological tools currently available on the market are not able to respond to this challenge and effectively meet these needs.

In this context, therefore, the intention is to design and develop a platform allowing the innovation of the production process in the Industry 4.0 perspective.

The platform of the ADA project will be based on big data analytics systems to adequately address these critical issues.

It will allow the acquisition, organization and smart retrieval of information from texts and technical images in the different phases of the production cycle of products.

Among the main innovative features that will be offered there will be: the compilation assisted to the project documentation, the combined analysis of texts and images, the automatic extraction of information from technical documents, the certification guaranteed by blockchain, the testing automation and the maintenance predictive.

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