A patrol robot system is designed and implemented in order to enrich the means of safety inspection and improve the ability of emergency response in hazardous chemical warehouses in university.To build the patrol robot platform,multiple sensors including odometry,single line scan laser rangefinder,night vision color and thermal imaging cameras with pan-tilt unit,and environmental sensor suite are integrated and boarded on a differentially driven four-wheel mobile chassis.Data collected from odometry and laser rangefinder are merged and employed to realize Simultaneous Localization and Mapping (SLAM),patrol path definition as well as path following.At any patrol position,the pre-defined objects are located by image correlation analysis and their temperatures are measured by thermal imaging.In the patrol process,the thermal imaging camera and the environmental sensors are used to measure environmental parameters in real-time thus generate heat trajectories.Intruders which appear in the thermal images are detected based on prior knowledge.All the related algorithms are implemented into the robot operating system,while the web system for remote human-robot interaction is developed using NodeJS.The experiments of autonomous patrol are performed in environments with and without illumination.Experimental results demonstrate that the proposed patrol robot system can meet the demand of safety inspection in hazardous chemical warehouse in university.