Design of an Odor Search Robot System Based on Open Sampling System

An odor source search robot system based on open sampling system is designed in this paper. First, a tracked vehicle equipped with five sensor arrays and cameras which positions can be adjusted arbitrarily is designed for intelligent and fast gas sensing and odor source localization. Then, the circuit system is designed based on MCU of Raspberry Pi. The gases information from the olfactory system is uploaded to the host computer via Wi-Fi and the video information is captured on the web page using OpenCV. If needed the operator can judge the direction of the odor source through the information displayed on the control panel and controls the robot to search for the odor source. Finally, the particle swarm optimization algorithm is proposed for the odor source location of multi-robots and the simulation is realized by Python and Fluent. The robot system proposed in this paper can detect the concentration of gases accurately and find the odor source quickly.