Building a Smarter Grid with a Services-Based Solution Architecture

Blog - Utility Grid

The Internet of Things expected to grow to 50 billion devices by 2050 and the electric utilities industry is one of the strongest examples of the reality and power of connecting devices and intelligent systems.

Electric utilities operate one of the most asset-intensive industries. These assets, including substations and smart meters, are now being connected to the Internet and are using advanced sensors to provide intelligent data on energy use. Obtaining real-time performance data, from hundreds of thousands and even millions of connected devices is becoming a reality for almost all utilities. But these data-collection systems are silos operating independently and often “speak” a different language than each other and their IT system counterparts. This poses a challenge as real-time performance data can help guide financial and other corporate decision-making like rapid response and crisis management, and is vital to meeting the needs of regulators and community leaders who are demanding greater transparency and accountability from electricity providers.

There is no doubt utilities providers will benefit from having access to a centralized view of information coming from their systems, assets and events in the real world, but traditional ways of enabling that intelligence have proven to be expensive, time consuming and complex.

At MachineShop, we believe that moving beyond expensive, legacy IT platforms to more discrete, standard service-based architectures can help these companies more effectively move data between operational systems and IT systems and inform decisions within the enterprise and its entire ecosystem.

What solutions do you think will help utilities companies get the most value out of their connected and intelligent systems? Will the alignment between IT and OT systems make a difference?

You can explore these and other ideas further in our new whitepaper: Bridging IT and OT – Transforming Smart Utilities