Research on Indoor Positioning Algorithm Based on UWB Technology at Fire Scene

Abstract

Aiming at the positioning problem of dynamically deployed temperature and smoke sensors in intelligent fire protection systems, an ultra-wideband (UWB) positioning method was used to design a dynamically deployed sensor that integrates temperature and smoke sensing, positioning and wireless communication functions. The adaptive obstacle compensation trilateral measurement algorithm and nonlinear least squares compensation were used to achieve accurate positioning in harsh fire environments. Experiments show that in complex indoor environments, when the number of partition walls on a single coordinate axis does not exceed 3, the positioning error can be within 3 cm. The sensor can also obtain the on-site temperature and smoke distribution in real time.