Reduce your operating costs through real time automation

Discover how to implement real-time autonomous processes with Edge AI.

Industry Challenges

Digitalización
High bandwidth cost
Due to sheer amount of data generation in real time.
Ejecución de procesos
Hardware heterogeneity
Different equipment, technologies and multitude of suppliers.
Espacio de confianza
Knowledge barriers
To integrate models for leak detection, quality control, failure prediction.
Despliegue de algoritmos
Low availability
To manage the complexity of the infrastructure and applications.

A composable and cybersecure architecture on a single platform, to digitize the entire water cycle

Barbara helps you scale and adapt your technology based on the maturity of your capabilities, so that you can accelerate your digital transformation where it is most needed.

Collection

Integrate telecontrol and predictive maintenance into your operations.

Treatment

Incorporate chemical detection or parameterization algorithms for efficient water purification in a cyber-secure way.

Distribution

Monitor your entire distribution network and detect any leaks in real time to prevent inmediate losses.

Waste collection

Integrate supply and sewerage network sensing from  a single platform.

Waste Treatment

Reduce energy consumption and optimize processes with real-time AI.

Reuse

Monitor, detect and autonomously resolve incidents in real time.
SUCCESS STORIES

How we do it

Edge Computing based solutions allow you to monitor your infrastructure in real time.
Discover how Acciona managed to optimize its processes and energy expenditure in real time and cybsersecurely.

Challenge

One of the main challenges in industrial digitization is how to combine  digital applications and algorithms that have shorter life cycles with traditional industrial systems with longer cycles.

Acciona faced the need to adapt to these cycles in order to be able to maintain and develop edge apps remotely, updating and retraining the models to be able to scale the project internationally in a managed, secure and controlled way.

Solution

Barbara, helped Acciona deploy Artificial Intelligence models at the Edge, and predict chemical levels in the water supply and purification plant, based on real-time variables in a cybersecure manner.
Edge Computing centros de transformaciónEdge Computing centros de transformación
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More cases that may interest you

By implementing real-time optimized Machine Learning algorithms at each of its desalination plants, ACCIONA a global infrastructure operator, managed to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and leverage an edge infrastructure to implement new predictive applications.

ACCIONA a global infrastructure operator, spent significant time and resources examining water samples in a laboratory to determine chemical concentrations. Due to the time it took to obtain these results, they were often outdated and unreliable which resulted in additional costs related to chemical supply as well as possible regulatory penalties.

To operate more efficiently, water management operators need to be able to monitor in a unified and comprehensive way all components that make up the OT and industrial automation architectures.

One of the key goals of the Barbara platform is to support data scientists and AI engineers in deploying their algorithms with minimal friction. In line with this, our latest release, version 2.8.0, introduces several new features, including support for additional development frameworks like ONNX and Pytorch, as well as GPU support, among others. However, these are just a few of the enhancements in the 2.8.0 release. Let’s take a closer look at all the updates.

EasyDC-FOS a European funded project is set to revolutionize High Voltage Power Transmission by developing more efficient HVDC cables and with intelligent monitoring tools hosted in a digital environment to manage emerging threats such as cyberattacks. Barbara´s Edge Platform will orchestrate and manage applications and edge devices remotely while ensuring data sovereignty and security.

Aduriz Distribución, a prominent electric power distribution company, recognized the pressing need to modernize its operations. In partnership with Barbara, Aduriz embarked on a transformative journey by deploying Edge infrastructure in two low-voltage (LV) substations using Barbara’s Industrial Edge platform. This successful initiative highlights how Aduriz overcame critical challenges, leveraging advanced technology to enhance system performance and deploy intelligence models that drive operational intelligence.

We are excited to announce the release of Barbara 2.7.0, a significant upgrade to our Edge AI Platform. Barbara continues to empower energy distributors, infrastructure managers, logistics operators, and manufacturers to seamlessly integrate the IT/OT worlds, harnessing the full potential of AI with unmatched privacy, autonomy, and real-time latency.

Our mission has always been to empower industrial companies to harness the full potential of edge computing. That's why we are proud to unveil Barbara Marketplace, an extraordinary repository of edge applications that will revolutionize the way you do business.

The 181 zettabytes of data generated annually by over 13 billion devices exceeds global internet bandwidth, posing challenges for cloud computing due to high costs, latency, and security concerns. Edge computing processes data locally, offering efficient, secure analysis without constant connectivity. Barbara’s Industrial Edge Management and Orchestration Platform simplifies managing this infrastructure by providing cloud-like capabilities on-premises and bridging the IT-OT gap.

This is the second article in our series examining the challenges of Digital Transformation in industrial companies as they advance toward full IT-OT convergence. In this edition, we turn our attention to "Data Journey".

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According to a recent IBM study, nearly 77% of industrial companies are either actively working with or planning to adopt AI and Machine Learning to optimize operations or unlock new revenue streams. In this landscape, Machine Learning Operations (MLOps) is emerging as the essential framework for Data and Infrastructure teams, streamlining workflows and driving successful AI implementation.

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ODEON a European Horizon project has just been launched with the mision to create an inclusive ecosystem of stakeholders characterized by the integration of a mesh of Data, Intelligence,Service, and Market flows. With a budget of 22,56 M€ allocated over four years, the project represents a significant stride toward a sustainable, secure, and competitive energy supply.

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InCharta, a groundbreaking application developed by Ingelectus, has just been added to our portfolio of Edge Apps in Barbara Marketplace. InCharta is set to revolutionize the way you perceive and manage low-voltage networks, providing invaluable insights through its interactive and AI-powered capabilities.

Barbara, the Spanish pioneer in Edge AI platforms for grid operators, and Picsellia, the French end-to-end MLOps platform for computer vision, have joined forces to accelerate edge computer vision applications in the energy sector.

Barbara and Gridfy have joined forces to bring AI Flexibility algorithms to the Edge.‍‍ Gridfy has developed and implemented the AI flexibility algorithm located in one of Cuerva´s substations while Barbara has provided the Edge Platform that deploys and orchestrates Artificial Intelligence in the Edge.

Picsellia, the single hub for image and video AI use cases, has just joined Barbara Marketplace. It introduces a centralized workspace designed to turn the chaos of scattered tools into a collaborative production-grade pipeline. Their fully integrated Vision AI platform empowers AI teams accelerate their computer vision initiatives.

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Artificial Intelligence and Machine Learning are the most popular technologies used to create intelligent systems and although they are related, they are not the same. Because of this relationship, when you look at Artificial Intelligence versus Machine Learning, you are actually analyzing their interconnectedness.

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The digital twin is one of the main topics of discussion about connected industry or industry 4.0. There are sectors where they are now not only a reality, but a key part of operations. Manufacturing uses digital twins in their day-to-day operations, helping to operate machinery, monitor material, predict behaviour, or plan tasks, using a virtual copy of the systems involved, and thus saving hundreds of field visits.

Edge Mesh proposes that all computing tasks and data be shared using a meshed network of edge devices and routers, offering many advantages, such as distributed processing, low latency, fault tolerance, greater scalability and enhanced security and privacy. These benefits are paramount for critical applications that require real-time processing, increased reliability or mobility support.

As the number of connected devices increases, so does the amount of data generated. This ability to analyze data, extract insights from it and make autonomous decisions based on the analysis is the essence of Artificial Intelligence (AI) of things, also known as AIoT.

The purpose of this article is to help the industrial ecosystem (service providers, integrators,, companies...) to better understand the industrial landscape of Edge technology. It is known that by 2026, 30% of packaged enterprise capabilities will be deployed on the Edge with integrated resources (gateways with local compute) to drive inference and business outcomes on nearby data. Find out more on the survey we conducted over 200 industrial companies.

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"Barbara is all about technical solvency in embedded software solutions. They have developed a device management platform natively focused on security aspects, that is what made us choose their solution. If we add to their technical expertise, their ability to adapt to us and their committed team, they make the difference."

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“Barbara has provided us with a reliable, robust and easy-to-use platform on which to deploy our solution, as well as assisting us with the development of specific software to support our vision.”

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“We decided to trust Barbara because of their extensive experience in the water sector and their reliability. The team they have, with David at the head, is differential, they inspire confidence and security in all developments.”

If you would like more information on what use cases you can implement and how to do it, please contact one of our experts.
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Edge apps certified by the water industry, ready to be deployed

Leak
Detection
Water Pump
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NB-IoT
Connector
LoRaWAN
Connector
Zigbee Connector
Wireless MBus Connector
OPC UA
Connector
MySQL