A Study on Positioning Algorithm for the Abnormal Temperature Area of Cotton Warehouses Based on Infrared Temperature Measurement and Visible Light Fusion

Abstract

Abstract Aiming at the positioning problem in the fire emergency response of cotton warehouses, a positioning algorithm for the abnormal temperature area in cotton warehouses is proposed in this paper based on infrared temperature measurement and visible light fusion. This study combines image data fusion, temperature, and gas sensor data to detect the abnormal temperature area, and positions the spatial three-dimensional point through camera calibration and pose estimation, to achieve early warning and emergency response of cotton warehouses. The experiments show that this algorithm can effectively achieve the positioning of the abnormal temperature area.