Title :
Using Stationary Electronic Noses Network to Locate Dynamic Odour Source Position
Author :
Cai, Jie ; Levy, David C.
Author_Institution :
Sydney Univ., Sydney
Abstract :
Source localization based on electronic nose system is a very interesting research. There are two basic methods to solve this problem. One is performed by robotics with build-in electronic nose (Enose) system. Another is performed by stationary electronic nose systems. First approach is well developed with the improving robotic techniques. However this approach will have difficulty to solve several situations, such as "instantaneous source" and complex landscape to prevent robotics reaching the source. Stationary electronic nose system has the capability to solve these problems. This paper presents a two-step approach based on a novel stationary electronic nose systems network to locate the dynamic odour source position. It is considered in a set of natural wind situations, including x axis advection, and wind with a break case. It is an extended work based on our previous research.
Keywords :
chemical sensors; electronic noses; industrial control; industrial robots; mobile robots; path planning; dynamic odour source position locating; instantaneous source; robotics; source localization; stationary electronic nose network; Accuracy; Animals; Australia; Beverage industry; Chemical sensors; Electronic noses; Olfactory; Particle separators; Robots; Sensor arrays; Dynamic source localization; Electronic nose; Nature wind situation;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290431