IIoT, edge computing and edge AI for the energy utility sector
Image credit: Minsait, Indra
The energy utility sector faces increasing demands for more efficient and sustainable asset management in the power generation, transmission and distribution domains.
To reach such targets, operators of complex and distributed infrastructures such as electricity distribution grids are deploying and integrating new technology to enable support for:
- Preventing and predicting anomalies of critical assets that could cause service outages (reliability)
- Reducing communication delays, enabling faster decision-making (latency)
- Implementing robust encryption and authentication mechanisms to protect data at the edge (security)
- Adopting standardised protocols to ensure seamless integration (interoperability).
All these requirements impose challenges on actual systems and processes. However, IIoT, edge computing and edge AI offer promising solutions to address these challenges.
Leveraging IIoT and edge computing for enhanced asset management
The combination of the Industrial Internet of Things (IIoT), edge computing and smart sensors in the existing infrastructure enables real-time data collection and analysis.
This real-time insight is crucial for predictive maintenance or early detection of events, which can help prevent unexpected failures and extend the lifespan of critical assets.
By continually monitoring equipment health, environmental conditions and weather events, utilities can detect and address potential issues before they escalate, thus enhancing reliability and reducing downtime.
Another advantage of having an edge computing infrastructure in the field is the ability to process and act on data at or near the source of the data generation rather than relying on a central data processing warehouse.
This localised processing significantly reduces latency, allowing for immediate data analysis and faster decision-making.
In the energy sector, where timely responses to changing conditions are vital, edge computing can facilitate real-time adjustments to operations, improving efficiency and reliability.
For instance, edge devices can autonomously manage loads on the grid, balance supply and demand and optimise energy distribution in real-time.
This concept can evolve into a Software Defined Asset (SDA), an intelligent asset capable of optimising and modifying its capabilities to dynamically manage its local constraints with the final goal of supporting intelligent operations.
Edge AI
Security is a paramount concern in the energy sector due to the critical nature of its infrastructure.
Edge AI can enhance security by implementing advanced threat detection mechanisms directly at the edge. AI-driven threat detection systems can identify and respond to security breaches in real-time, minimising potential damage and ensuring the integrity of the system.
The integration of IIoT, edge computing and edge AI presents a transformative opportunity for the energy utility sector.
These technologies pave the way for more efficient, sustainable and resilient energy infrastructure. Embracing these advancements will enable utility operators to meet increasing demands and ensure the continuous and reliable delivery of energy in the face of evolving challenges.
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About the author
Tiziano Modotti is ePhygital division Manager at Minsait, with 20 years of international experience in business and product development in edge computing, cloud infrastructure and Internet of Things (IoT) markets.
An electronic engineer with specialisation in microelectonics from the University of Udine, he has experience in product and sales strategies definition (hardware and software), partnerships development and business development management on complex projects.
About Minsait
Minsait, an Indra company, is a leading firm in digital transformation and IT in Spain and Latin America. Minsait possesses a high degree of specialisation and knowledge of the sector, which it backs up with its high capability to integrate the core world with the digital world, its leadership in innovation and digital transformation and its flexibility. Thus, it focuses its offering on high-impact value propositions, based on end-to-end solutions, with a remarkable degree of segmentation, which enables it to achieve tangible impacts for its customers in each industry with a transformational focus. Its capabilities and leadership are demonstrated in its product range, under the brand Onesait, and its across-the-board range of services.
About Indra
Indra is one of the leading global technology and consulting companies and the technological partner for core business operations of its customers worldwide. It is a world leader in providing proprietary solutions in specific segments in transport and defence markets and a leading firm in digital transformation and IT in Spain and Latin America through its affiliate Minsait. Its business model is based on a comprehensive range of proprietary products, with a high value, end-to-end focus and with a high innovation component. In the 2022 financial year, Indra achieved revenue totaling €3,851 billion with almost 57,000 employees a local presence in 46 countries and business operations in over 140 countries.
