Activities:

• 3D navigation of the plant layout with predefined views 
• Real-time update of the status of all the components of the energy / water system 
• Optimization of energy / water consumption through historical analysis, including automatic alerting and reporting 

Results:

The project focused on the development of maintenance remote tools for monitoring and optimize water and energy consumption.

The final aim was to ensure business continuity, fast response to unexpected events as well as earth resource use minimization. T

Activities:

The activities focused on the development, from the concept to the prototype, of an innovative inspection sensor for the detection of imperfections in the production of food products together with an energy monitoring systems and automatic control of grain quality. 

1. Automatic detection of imperfections in pasta production and quality control system: study, conceptual design, implementation and validation of the system. Design and development key aspects were related to hardware (optics and electronics) and software (defect detection algorithms);
2. System for monitoring and supervising the efficiency of the system;
3. Provision of prototype components of the automatic grain control system, including the provision of training to end users of the system. 

Results:

The main result was the developement of a quality control system during pasta production, using computer vision, which was able to detect defects on pasta and interact, directly, with machines in pasta plant.  

Activities:

1. Development of a solution integrating advanced enabling technologies (AI, IoT and wearable devices) for workplace safety safeguarding human resources; 
2. Monitor workers’ position without interfering with normal safety procedures, based on IoT sensors on PPE or advanced algorithms applied to videos; 
3. Support in managing emergency evacuation in case of accident. 

Results

The main project result was the development of a continuous monitoring system for worker safety in critical areas by using wireless technologies and augmented reality.

Plant operators, equipped with personal wearable devices, benefit from a range of safety services. In addition, in order to carry out maintenance operations in critical areas of the plant, the integration of augmented reality techniques through smart glasses was experimented as well.

Activities:

Development of a digital logbook for the management of the anomalies noticed on plants and/or machines by operators during their work shift. Its main purpose is to facilitate the handover to the shift change, optimizing workshop operations. 

Results:

The developed solution is a modular and scalable web application, equipped with a client and a server side: 

1. Server: installed on common internal web servers it uses IIS systems such as http server, and Oracle, MS SQL etc. as a DBMS;
2. Client: the functions are accessible through the web browser (ie Internet Explorer, Chrome, Microsoft Edge) from common devices, such as PC, tablet or smartphone. The 2D (e.g. * .svg file) and 3D (e.g. * .gltf file) display of the plant / machine is available as an option. 

The system was developed and configured for different areas of the plant and allowed an optimal management of the state of the plants also in terms of supply. 

Activities:

Development of a Machine Learning algorithm for an online continuous monitoring system aiming at identify any abnormal vibration activity based only on real-time load and temperature information. The developed system helps to foresee the moment in which it is necessary to proceed with the maintenance and allows to rationalize the plant downtime, as well as to keep it efficient. It is based on IoT sensors and on quality.  

Results

The main project result was the swithboard vibration and temperature analysis through IoT Platform. 

Activities:

1. Unique interface all the Company’s systems, merging both technical information (design and automation) and management information.
2. Electronic archive with O&M, engineering and process documents.
3. Link to management system, SAP and DCS.
4. Mobile access to final interface.  

Results

The main project result has been the development of a digital twin for plants.