Increasing attention is being paid to worker safety in the workplace, specially within Industry 4.0 applications. Knowing where the worker is in real time can help to prevent accidents around machinery assembly that may have critical or dangerous areas in their surroundings. In this paper, the position of a tagged worker is measured by exploiting ultra-high-frequency Radio Frequency Identification technology, by proposing a synthetic aperture radar (SAR) localization method in the framework of the SENERGY Project. In particular, an approach to reduce the computational cost of classical SAR-based localization method is proposed by aiming to realize a real-time tracking system. A proper cost function, to deal with a minimum-search problem is employed. Then, a hierarchical approach is defined to first calculate the cost function in a coarse-grain grid and then to refine the tag position estimation with an Interior Point Method. A numerical analysis shows the effectiveness of the proposed hierarchical approach to realize real-time tracking system, needful when addressing worker-safety applications.
UHF-RFID Smart System for Worker Safety: a hierarchical approach for localization
Bandini G.;Motroni A.;Buffi A.;Marracci M.;Nepa P.;Tellini B.;Pirozzi M.;
2022-01-01
Abstract
Increasing attention is being paid to worker safety in the workplace, specially within Industry 4.0 applications. Knowing where the worker is in real time can help to prevent accidents around machinery assembly that may have critical or dangerous areas in their surroundings. In this paper, the position of a tagged worker is measured by exploiting ultra-high-frequency Radio Frequency Identification technology, by proposing a synthetic aperture radar (SAR) localization method in the framework of the SENERGY Project. In particular, an approach to reduce the computational cost of classical SAR-based localization method is proposed by aiming to realize a real-time tracking system. A proper cost function, to deal with a minimum-search problem is employed. Then, a hierarchical approach is defined to first calculate the cost function in a coarse-grain grid and then to refine the tag position estimation with an Interior Point Method. A numerical analysis shows the effectiveness of the proposed hierarchical approach to realize real-time tracking system, needful when addressing worker-safety applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.