Stockholm recruits Itron to manage smart-city streetlighting
The city of Stockholm in Sweden is to deploy a software platform from Itron to manage its streetlights, according to the US-based industrial networking company.
Itron has signed a contract with Stockholm to deploy its Streetlight.Vision (SLV) platform. SLV delivers asset management, analytics and control capabilities. It is being used by around 500 communities to control three million intelligent devices worldwide, claims Itron.
Stockholm has a stated ambition to be “the world’s smartest city in 2040”. A management platform for connected streetlighting, into which it can integtrate other applications as well, is a first priority, said Itron.
Stockholm’s traffic department will utilize the SLV platform to manage streetlights, improve energy efficiency, and optimize system performance, it said.
Maria Holm project manager of the Stockholm smart and connected lighting project, commented: “Through innovation, openness and connectivity we are making Stockholm more economically, ecologically and socially sustainable.
“Smart street lighting is a vital component of this strategy because it provides immediate energy savings, helps us achieve our sustainability goals, and lays the groundwork for our future smart city vision.”
Itai Dadon, director of smart cities and IoT at Itron, said: “Delivering proven energy savings while laying a foundation for digital transformation, our intelligent streetlight management solution will enable Stockholm to unlock efficiencies with the ability to scale and enable future smart city applications from our vibrant and growing partner ecosystem.”
Last month, Itron announced a deal Swedish electricity provider Borås Elnät to swap-in 46,000 smart electric meters and layer-in sensors and analytics across its grid infrastructure.
Itron will handle project management and implementation for the industrial IoT project, it said. The upgrade will give it closer sight of the workings of its electricity distribution network, with access to near real-time data on energy use and grid operations.