Zakaria Syed Muhammad Mamduh Syed, Visvanathan Retnam, Kamarudin Kamarulzaman, Yeon Ahmad Shakaff Ali, Md Shakaff Ali Yeon, Zakaria Ammar, Kamarudin Latifah Munirah
Centre of Excellence for Advanced Sensor Technology (CEASTech), Universiti Malaysia Perlis, Pusat Pengajian Jejawi II, Taman Muhibbah, Arau, Perlis 02600, Malaysia.
School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, Arau, Perlis 02600, Malaysia.
Sensors (Basel). 2015 Dec 9;15(12):30894-912. doi: 10.3390/s151229834.
The lack of information on ground truth gas dispersion and experiment verification information has impeded the development of mobile olfaction systems, especially for real-world conditions. In this paper, an integrated testbed for mobile gas sensing experiments is presented. The integrated 3 m × 6 m testbed was built to provide real-time ground truth information for mobile olfaction system development. The testbed consists of a 72-gas-sensor array, namely Large Gas Sensor Array (LGSA), a localization system based on cameras and a wireless communication backbone for robot communication and integration into the testbed system. Furthermore, the data collected from the testbed may be streamed into a simulation environment to expedite development. Calibration results using ethanol have shown that using a large number of gas sensor in the LGSA is feasible and can produce coherent signals when exposed to the same concentrations. The results have shown that the testbed was able to capture the time varying characteristics and the variability of gas plume in a 2 h experiment thus providing time dependent ground truth concentration maps. The authors have demonstrated the ability of the mobile olfaction testbed to monitor, verify and thus, provide insight to gas distribution mapping experiment.
缺乏关于真实气体扩散的信息以及实验验证信息阻碍了移动嗅觉系统的发展,尤其是在实际应用场景中。本文介绍了一种用于移动气体传感实验的集成测试平台。该集成测试平台面积为3米×6米,旨在为移动嗅觉系统的开发提供实时真实信息。该测试平台由一个72气体传感器阵列(即大型气体传感器阵列,LGSA)、一个基于摄像头的定位系统以及用于机器人通信并集成到测试平台系统中的无线通信骨干网组成。此外,从测试平台收集的数据可以传输到模拟环境中以加速开发进程。使用乙醇的校准结果表明,在LGSA中使用大量气体传感器是可行的,并且在暴露于相同浓度时能够产生连贯信号。结果表明,该测试平台在2小时的实验中能够捕捉气体羽流随时间变化的特征和变异性,从而提供随时间变化的真实浓度图。作者展示了移动嗅觉测试平台监测、验证并进而为气体分布图实验提供见解的能力。