From identifying areas at risk of wildfires, to collecting data on traffic patterns in major cities, monitoring through remote sensors has the power to transform our understanding of remote, hostile or complex environments and situations.
However, power supply to these sensors continues to be a problem. Placing sensors in remote, dangerous or difficult to access areas also makes it difficult to replace batteries when they run out, and negates some of the benefits of these sensors.
This project will build first-in-class small-scale, self-powering, intelligent sensors which utilise both ultra-low-powered processors and a combination of energy harvesting techniques.
It is envisaged that this will generate a new suite of self-powering Internet of Things (IoT) sensors. We will cut the dependency on battery lifetime for the IoT low power devices through the simultaneous and intelligent use of various energy harvesters (e.g solar, vibration, heat). Reducing the power needed by these sensors will extend the battery life, while energy harvesting will allow the batteries to recharge, extending their useful life and making their use more sustainable. In addition, the IoT sensors are paired with the power of data analytics, ML and AI.
As part of the project, the data gathered will be analysed to demonstrate the value of the data captured from these sensors despite the potential reduction in the processing power. The initial use-cases explored will be around gathering health and environmental data to ensure the safety of key workers in various settings.
This project is run in partnership with AND Technology Research (AND TR), funded by a Knowledge Transfer Partnership from InnovateUK.