基于分布式传感器阵列的静态气体源定位方法

基于气体湍流扩散模型提出了适用于稳定风场的静态气体源定位方法, 采用分布式传感器阵列对空间内的目标气体浓度进行检测, 依靠多点观测结果计算气体源位置. 定位算法预先设定气味源的潜在范围, 采用遍历计算的方法将气味源定位问题转变为根据最小二乘法则在预设范围内求取气体源坐标最优解的问题. 通过仿真实验对新算法进行验证, 建立金属氧化物气敏传感器阵列及信号采样系统, 以乙醇蒸汽为目标气体在实验室环境下进行了实际气体源定位实验.

Odor Source Localization Algorithm Based on Spatially Distributed Sensors Array

Based on the turbulence model, this paper proposes an approach of odor source localization which is designed to find the static odor source in stable wind field. The spatially distributed sensors array is adopted to monitor odor concentration on multiple spots. And the odor source can be localized depending on the measuring results of sensors array. The optimal solution of the source position is estimated with location algorithm in a predetermined range. By using traversal calculation, the odor source localization problem is converted into the optimal solution based on least-square. Comparing with other odor source location algorithms, the new algorithm can operate without known wind speed and diffusion coefficient. And the traversal calculation avoids being trapped in local optimum. Simulation experiments are performed to verify the localization algorithm. The metal oxide semiconductor sensors array and the sampling system are designed. And the ethanol odor localization experiments are operated in the laboratory.