Hållbara sensorer i framtidens fabriker
|Koordinator||Uppsala universitet - Institutionen för informationsteknologi|
|Bidrag från Vinnova||499 115 kronor|
|Projektets löptid||november 2018 - november 2019|
|Utlysning||Banbrytande idéer inom industriell utveckling|
|Ansökningsomgång||Banbrytande idéer inom industriell utveckling - 2018|
Syfte och mål
Past several years has seen a growing interest to automate various processes in the industry with the initiative such as Industry 4.0. Many of these initiatives focus on developing various machine learning tools; however, we believe an unexplored aspect is the large-scale collection of the sensor data using sensors. The goal of this project is to develop on our world-leading expertise in backscatter communication, to develop sustainable, battery-free sensors with wireless capability that operates unhindered for long periods in the challenging environment of factories.
Förväntade effekter och resultat
The project contributes to the vision of large-scale automation and data collection in future factories. In the project, we develop prototype sensor nodes that sense light, temperature and communicate them using ultra-low power backscatter communication mechanism that we have developed over the past few years. The sensor nodes are battery-free and are powered from harvesting energy from light, temperature difference, or radio frequency signals. Through the prototype sensor-nodes, we will explore interest from industrial partners to develop, scale and deploy these nodes.
Planerat upplägg och genomförande
We divide the project into four phases. In the first phase, we will do literature and patent search to investigate the solutions that already exist. In the next stage, we will combine our earlier expertise in backscatter communication to develop prototype sensor nodes that operate on harvested energy. In the third stage, we will test and evaluate the prototype in lab settings. Finally, in the fourth stage, we will demonstrate the prototype to potential industry partners to assess in the real world.