Urbanova, a smart city living lab in Spokane, Washington‘s University District, has reached a key milestone with its Smart and Connected Streetlights Pilot, installing sensors on and collecting data from 10 streetlights across the district.
Urbanova founding partner Avista will install an additional 29 LED fixtures with dimming capabilities in the fall. With the pilot, Urbanova is defining how to develop and design a living laboratory and harnessing data to gain insights, empower people and solve urban challenges in new ways.
With the goal of increasing energy efficiency and public safety, the pilot enables the intelligent management and control of the streetlights using Itron‘s OpenWay Riva Internet of Things (IoT) solution.
The smart, connected sensor network provides the foundation for the streetlight pilot and future applications. The new generation streetlights not only save energy compared to predecessors, but they are also remotely controllable so that lighting conditions can be adjusted and optimized to improve public safety or urban ambiance.
The pilot also features a human-scale urban air quality R&D component, measuring the quality of the air and other environmental factors to assess air quality’s role in a healthy city. The streetlights are capturing other data, including ambient temperature, ambient light, peak noise level, motion detection and pole orientation.
The data will provide insights into energy savings and efficiency and will be used with advanced weather and air quality models to improve understanding of micro-climates in urban areas. It will also provide unique and valuable information about how forest fires — which are common in the region — affect air quality and pollution in urban environments.
The Smart and Connected Streetlights Pilot plays a key role in helping Urbanova establish a data governance model and a shared platform architecture. The organization is discussing questions about data ownership, control and sharing. All six founding partners have access to the shared data that comes from the sensors to use for research, baseline data, visualization or business case development.