The customer needs to equip himself with an advanced system capable not only of detecting operating anomalies and leaks of one of his district heating networks, but also of foreseeing future problems. This can be done through analysis of the thermographs that are acquired annually with aerial flyovers and integrate them with other features/data sources in an anomaly detection and predictive analysis tool. The goal is to understand the evolution of the network and its anomalies over time, so as to intelligently plan maintenance interventions and contain waste.

Exprivia Solution

Exprivia is accompanying the partner in the industrialization of a digital platform based on artificial intelligence models (deep learning) for anomaly detection.
Through the collection and mosaic of thermal images of annual flyovers, the system builds a progressive dataset in which anomalies are compared with leak cases verified in the field. Neural networks thus learn to distinguish what is physiological or disturbing elements from what constitutes a significant anomaly.
The result is an intelligent map, capable of sorting and prioritising anomalies according to criteria of severity, extent and potential impact: a useful strategic decision-making tool for the multi-utility. In addition, diachronic monitoring allows you to observe how anomalies evolve, transforming a traditionally reactive approach into a predictive and proactive model.

Results

The platform will make it possible to identify critical points in the network potentially exposed to anomalies or failures in advance and to optimize the planning of interventions, with a positive impact on the economic and environmental level. The multi-utility can thus contain energy losses and improve the overall efficiency of the grid, strengthening its role as a key player in the energy transition of the areas served.

L'articolo Artificial intelligence to support sustainable district heating proviene da Exprivia.

L'articolo Exprivia wins the Consip tender for Cloud solutions proviene da Exprivia.

Ad oggi, Il controllo delle Smart Grid è affidato a sistemi SCADA, ossia server dedicati per la supervisione e acquisizione dati utilizzati in fase di distribuzione. Tuttavia, tali sistemi rendono inefficiente l’esercizio delle Smart Grid per diversi motivi.

1) Logiche di controllo cablate (configurazioni hardware o software fisse e non facilmente adattabili o modificabili in tempo reale) e tarature manuali (soglie di allarme, limiti di controllo e tutte le istruzioni impartite a mano da un operatore) che difficilmente possono rispondere alle variazioni delle risorse energetiche presenti in una Smart grid. In particolare dalle fonti rinnovabili, caratterizzati da un comportamento imprevedibile soprattutto in presenza di variazioni atmosferiche.

2) Bassa resilienza su tutte le situazioni che comportano interruzioni sulla rete elettrica quali guasti o black-out.

3) Non adeguati e poco protetti in termini di CyberSecurity.

Emerge dunque, la domanda di un nuovo livello di automazione che integri le tecnologie Industry 4.0 in grado di rispondere in maniera dinamica ed efficiente alle variazioni che avvengono all’interno della Smart Grid. Il progetto ha la finalità di proporre un Energy Management System (EMS) in grado di superare i limiti derivanti da sistemi SCADA tradizionali mediante il supporto di un sistema innovativo basato su tecnologie Edge-Cloud Computing e l’impiego di algoritmi di Intelligenza Artificiale e tecniche di modellazione per analisi di stabilità di una Smart Grid.

Benefici

I benefici del progetto InSite sono mirati:

1. verso gli utenti, consentendo ai gestori della rete di poter offrire servizi di tariffazione intelligente, quindi riduzione dei costi
2. verso la rete elettrica, grazie a maggior resilienza e sicurezza informatica
3. verso l’ambiente, ottimizzando e incentivando l’uso di fonti rinnovabili

Progetto

Exprivia, capofila del progetto, assume il ruolo di coordinatore del progetto e si focalizzerà sulla modellazione ed integrazione del sistema InSite, attraverso i seguenti step:

1) definizione delle specifiche funzionali e architetturali del sistema integrato InSite

2) progettazione e sviluppo dell’infrastruttura Cloud ed adozione di tecniche di CyberSecurity integrate sull’intero processo di sistema

3) progettazione e sviluppo della piattaforma InSite per il supporto alle decisioni da parte dell’operatore

4) divulgazione e comunicazione del progetto InSite per mezzo di pubblicazioni su riviste internazionali di settore e per mezzo di presentazione a convegni nazionali o internazionali

Partner

• EXPRIVIA S.P.A
• Idea75 S.r.l.
• PoliBA DEI (Dipartimento di Ingegneria Elettrica e dell’Informazione)

InSite è stato approvato e ammesso al finanziamento con decreto del Ministero della Transizione Ecologica, 20 settembre 2021, pubblicato su G.U.R.I. n. 234 del 30 settembre 2021, previsto dal Piano triennale 2019-2021 della ricerca del sistema elettrico nazionale

L'articolo INSITE proviene da Exprivia.

L'articolo VISION: the new Visualization Client for the DestinE Platform proviene da Exprivia.

The Task Tracker project was developed for Endesa, one of the main players in the energy sector in Spain, with the aim of improving the efficiency and management of wind farms on a national scale.

With this solution, you can monitor, plan and optimize the day-to-day operations, maintenance and surveillance of wind infrastructure, ensuring high performance and minimizing downtime.

Exprivia Solution

A strategic partnership between AWS, Energy Spain Company and ICT Solutions Provider to optimize the monitoring and management of wind infrastructure.

The entire platform has been implemented within Platform Enel, exploiting the potential of its numerous services and integration with AWS.

What does it mean to improve the efficiency of wind farms?

• Real-time monitoring: Interactive dashboards and custom reports to track the operational status of each wind farm.
• Advanced maintenance management: Optimize the planning and execution of maintenance activities, with a positive impact on the life of the plants and the reduction of operating costs.
• Process automation: Digitization and automation of routine operations, allowing teams to focus on more value-added tasks.

Wind energy: the sustainable future of energy

Endesa, committed to the transition to a sustainable future, is expanding its wind and solar farm with the aim of reducing its carbon footprint and increasing production from renewable sources.

The Task Tracker project fits perfectly into this strategy, improving the operational efficiency of the plants and supporting the company on its path towards sustainability. The adoption of advanced technologies makes it possible to make business processes smarter and more optimized, strengthening Endesa’s role as a leader in the production of renewable energy.

L'articolo Platform for advanced wind farm management in Spain proviene da Exprivia.

Needs

The RIS-PACS Project was developed with the aim of optimizing the management of radiological images and medical reporting. The main challenge wasto integrate a single cloud-based system, allowing the Don Gnocchi Foundation’s facilities to manage radiological data and distributed reporting in an integrated way, making medical expertise more efficient for the benefit of all FDG patients.

Exprivia Solution

Cloud Solutions for Collaborative Integration and Reporting

The solutions adopted in the project have led to significant results:

• Single Cloud Platform – A cloud platform has been implemented that unifies the management of radiology images (PACS) and radiology information management system (RIS).
• Clinical Systems Integration – The system has been integrated with existing clinical systems, such as CUP/ADT, MPI and LDAP, ensuring efficient and secure data management. In addition, the system has been set up to be compliant with the single national ESF 2.0 legislation
• Increased Productivity – Thanks to the reduction of human errors and the improved quality of the data, there has been an increase in productivity and a reduction in clinical risk.
• Collaborative Reporting – The efficiency of distributed reporting allows doctors from different locations to access and report collaboratively, improving the service offered to thousands of patients.

Results

The implementation of the RIS-PACS system has led to a significant improvement in the quality of healthcare. Immediate and secure access to radiology data has optimized workflows, reducing patient wait times and increasing operational efficiency. Thanks to these innovations, the Don Gnocchi Foundation has been able to offer a more responsive and collaborative service, further enhancing its ability to respond to clinical needs.

A new model of healthcare innovation with RIS-PACS

The RIS-PACS Project has not only modernized the radiological infrastructure of the Don Gnocchi Foundation, but has also established a model of healthcare innovation that can be replicated in other realities.

Exprivia confirms itself as a strategic partner in the digitalisation of the healthcare sector, helping to ensure more efficient and safer care for patients.

L'articolo Healthcare Innovation with the RIS-PACS Project for the Don Gnocchi Foundation proviene da Exprivia.

AMELIA: cutting-edge digital platform for the management of georeferenced data

As part of the GRINS project, Exprivia has developed a digital platform for the management of heterogeneous georeferenced data at a granular level, called AMELIA (dAta platforM for the transfEr of knowLedge and statistIcal Analysis).

It is an advanced digital platform that will integrate a wide range of heterogeneous georeferenced data in the economic-social field and will provide tools, application solutions and customized AI/ML models, designed to support fundamental and applied research. The aim is to enable the analysis and management of data for the study of phenomena in the sector, generating knowledge that can be transferred to private and public entities, in order to promote resilient, inclusive and sustainable growth.

Exprivia Solution

Exprivia, as the only IT partner of the GRINS project, plays a crucial role in the development and management of cutting-edge digital platforms. With our expertise in Data Platform, Data Integration, Data Advanced Analytics and System and Application Integration, we contribute significantly to research, design, implementation and testing.

AMELIA is a digital georeferenced data management platform capable of integrating any type of data, both structured and unstructured, which uses AI/ML models to manage specific processes, from the ingestion phase to the creation of customized visualizations.

Within the GRINS project , the design and implementation of the AMELIA digital platform and the development of application components that are still part of the application infrastructure solution, also created with AI/ML techniques, took place. The platform is entirely developed by Exprivia SpA, which is involved as Owner of the entire Work Package 1, which is responsible for the design and implementation of the same.

GRINS PNRR funding programme – Mission 4, Component 2, Investment 1.3, funded by the European Union – NextGenerationEU

Project Code PE00000018

GRINS: Growing, Resilient, INclusive and Sustainable

GRINS is a multidisciplinary project funded by the PNRR lasting 36 months (from 01/12/2022 to 30/11/2023). It is carried out by an extensive partnership involving about 350 researchers belonging to 25 different institutions (13 Universities, 3 Research Centers, 7 Data Providers and 2 Technology Partners, including Exprivia SpA). A pool expert in the economic, statistical, data management, policy evaluation (both ex ante and ex post), environmental, sensitive data protection, etc. domains and which requires the development of machine learning and artificial intelligence solutions.

GRINS is available to public and private actors for statistical analyses capable of representing socio-economic, environmental, health and financial trends on the issues of growth, resilience, inclusiveness and sustainability.

GRINS project: institutions involved

Public Universities: Alma Mater Studiorum – University of Bologna (leader), Bocconi University, Ca’ Foscari University of Venice, Polytechnic University of Milan, University of Rome Tor Vergata, University of Bari, University of Bergamo, University of Cagliari, University of Catania, University of Naples Federico II, University of Padua, University of Palermo, University of Turin.

Research centres: Einaudi Institute for Economics and Finance (Eief), Sant’Anna University School of Advanced Studies, Tagliacarne Research Center

Other public and private entities: Ania, Cineca, Crif, CMCC Foundation, Exprivia, Intesa San Paolo, Poste Italiane, Prometeia, Leithà

The published study was funded by the European Union – NextGenerationEU, Mission 4, Component 2, as part of the GRINS – Growing Resilient, INclusive and Sustainable (GRINS PE00000018 – CUP B53D22000950004) project. The views and views expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for the same.

L'articolo GRINS: AMELIA digital platform proviene da Exprivia.

Enel digital transformation: AWS Exprivia’s Cloud solutions

For years, Enel X has been leveraging advanced AWS cloud solutions in collaboration with Exprivia to improve its IT infrastructure and offer an ever-increasing quality service to its global customers.

Recently, the company successfully completed the migration of its Kubernetes solutions to Elastic Kubernetes Service (Amazon EKS) and Apache Kafka dataflows to Managed Streaming for Apache Kafka (Amazon MSK). This transition was facilitated by the collaboration with Exprivia, which provided the technical and strategic support necessary to ensure a smooth migration of the applications.

Enel X’s migration to Amazon EKS and Amazon MSK

Thanks to Amazon EKS, Enel X now manages its Kubernetes containers more efficiently, benefiting from seamless integration with other AWS services. EKS has enabled smoother management and scalability that is critical to meeting the needs of an ever-expanding market.

At the same time, Amazon MSK has simplified the management of streaming data streams, which is essential for e-mobility applications. With MSK, Enel X has been able to reduce downtime and improve system resilience, ensuring that critical data is always available and protected.

Exprivia Solution

Exprivia for the digital transformation in electric mobility

Exprivia’s support was fundamental to the success of the project. Our technical expertise and ability to manage complex migration processes ensured that the transition went smoothly, allowing Enel X to focus on its mission to innovate in the field of digital transition in the electric mobility sector.

Enel X’s continued digital transformation in the industry demonstrates the importance of adopting advanced and reliable technologies to remain competitive and sustainable in a fast-growing market.

Results

“Partnering with AWS and Exprivia has allowed us to optimize the management of our containers and data flows, which are crucial elements for our daily operations. Migrating to EKS and MSK was a natural fit to support our growth and improve our customers’ experience.”

IT infrastructure optimization: benefits

• Global Scalability: ability to grow rapidly and respond to the needs of customers around the world;
• Efficiency: optimization of resources and reduction of operating costs;
• Reliability: high uptime and simplified management thanks to robust solutions;
• Security: Advanced data protection measures to ensure maximum security.

Technical Details

The company adopted Amazon EKS for Kubernetes and Amazon MSK for Apache Kafka, achieving significant results in terms of scalability, operational efficiency, and system reliability. Going forward, the goal is to continue to expand and optimize AWS solutions to support new features and services, thus ensuring a constant and high-performance evolution of the infrastructure.

L'articolo Optimizing Enel X’s IT infrastructure with AWS Managed Services proviene da Exprivia.

In recent decades, the rapid evolution of digital technologies has radically changed the social and economic interactions between governments, citizens and businesses, showing how innovation is the key to promoting economic growth and prosperity, reducing costs and improving the offer of services and products.

Polignano: an ancient town and one of the most sought-after destinations in Puglia, it has set itself the challenge of providing its citizens and tourists with efficient and safe services by adopting a management model oriented towards maximum sharing and transparency with the Municipal Administration to ensure coordination, integration of working groups and the overall quality of the services provided.

Exprivia Solution

The renewal program includes the implementation of the e-Government project which aims to improve the efficiency, transparency and quality of final services, but above all to reduce the complexity of bureaucratic processes to the benefit of both external and internal users.

Exprivia supported the Municipality of Polignano in the reorganization of processes and in the provision of higher quality services for citizens, keeping in mind the needs of the entity: protecting citizens’ sensitive data, improving information security, optimizing management with better access to services for citizens and constant updates with maintenance of local servers that required significant resources and frequent upgrades.

The system essentially needed to modernize the management of data and consequent services, improving their effectiveness of use. With this precise objective, the adoption of the Cloud was the natural choice, because it brings with it enormous benefits both for the organization of the Public Administration and for citizens: it significantly reduces costs, contributes to increasing energy efficiency and improves the quality of the services provided.

At the same time, the Municipality has been able to count on Exprivia’s Cloud Computing Solutions that increase the security of services and processes, an essential condition for the processing of such sensitive data.

Results

The collaboration has once again proved to be a winning weapon in the success of the project.

The configuration management process has seen not only ample room for improvement, but a real change in process management, determined by a different concept of use of data at the service of the operator and the user that is born and is archived not as an end in itself, but with the aim of fulfilling the most diverse needs related to the services in operation.

Today the municipality of Polignano can effectively and efficiently measure the following aspects:

• control of the resources used by a service;
• control over the fulfilment of legal obligations (software licences, contracts, etc.);
• support for information security aspects;
• effective and efficient management of accidents and problems;
• availability, to other processes, of accurate information on each CI and on the relationships between CIs;
• Effective and efficient management of changes to the service system.

L'articolo Quality and Safety with Exprivia Cloud Computing Solutions proviene da Exprivia.

What is the Single Cartographic Panel?

The Single Cartographic Panel (PUC) is a web application used by Enel to manage, modify and maintain the national electricity grid, including customers. The PUC allows the georeferencing of each element of the electricity grid using GIS and Geoserver technologies. It is a system created to interact with other applications, tools and maps and which uses 3D technology to scan the territory and everything that could be around the ENEL network. Thanks to advanced virtual reality, it is possible to enter the transformer substations “physically” and remotely.

Exprivia Solution

The Single Cartographic Panel has three different Graphical interfaces that allow operators to schedule interventions:

• Design and Budgeting Platform: the purpose of this interface is to design the network in GIS-Driven mode and obtain the technical and commercial estimate on the SAP system (Enel Distribuzione’s ERP system, i.e. a management system for economic final balance). It is possible to estimate changes to the electricity grid through real interventions by a technical team. The interface also makes it possible to follow and indicate the progress of the maintenance work on the national electricity grid in the field for each project protocol and to update (i.e. publish them, making them definitive and permanent) the changes to the operating network through increments;
• Network Editing: In this interface, you can adjust the topology and information of the operating network. You can collect changes or adjustments to the network in a project (or “draft”) and save them for later resumption. These changes can then be validated and updated by permanently making changes to the operating network;
• Electrical Study: this interface, similar to the previous one, allows you to validate the correctness of adjustments to the electricity grid, for a further guarantee of the activity.

Single Cartographic Panel: perimeters of the Exprivia project

Evolutionary development project and application maintenance services of the system carried out by the ICT Infrastructure & Networks (I&N) Solution Center, as part of the process of Development of Networks, Grid Topology & Quality and GIS with geographical coverage of Italy, Spain, Romania and Latin American countries, with particular reference to the Platformization area.

The main technologies and frameworks on which the solution is based are: Geoserver, Java Microservices, Java Reactive, SpringBoot, Kubernetes, Docker and Cloud AWS.

The project activities are carried out in Agile rooms in the Platformization area and include:

• Backend development of the Single Cartographic Panel (PUC) focused on the creation of thematic maps using the properties of the electrical elements and on the implementation of backend services for the editing of the national electricity network;
• Porting topological data to the Platform and developing SpringBoot microservices for their extraction and aggregation. These microservices provide solutions with the network topology data they need for their use cases;
• Creation and maintenance of the CSM Italia incremental motor, to support electrical network design problems through the technical-functional analysis of the network; creation of massive remediation of the spatial data of the network and infrastructure elements; integration and migration of data between different platforms and heterogeneous databases;
• Analysis, design and implementation of microservices and business services related to the new infrastructure of Enel’s GIS platform; management of the cartographic catalogue and its integrations with respect to Enel solutions.

Results

Thanks to these tools, it is possible to implement a more efficient planning of the maintenance activities of the electricity grid , obtaining a real vision of what the operators will find on site. A mapping that makes it possible to assess the presence of any interference with other plants upstream and that supports colleagues in putting in place all the procedures aimed at ensuring the safe execution of activities.

Team technicians also interact with these technological systems: thanks to applications created for smartphones, they are able to view maps, changes made by colleagues and above all to know the characteristics of the network, knowing exactly where to intervene.

A set of tools, therefore, that facilitate and make possible the monitoring of the national electricity grid useful for ensuring more efficient and continuous electricity services .

L'articolo Single Cartographic Panel: the efficiency of planning in the maintenance of electricity grids proviene da Exprivia.