odor source

a three-step odor source declaration algorithm is brought forward by combining heuristic thoughts and odor mass throughput calculation.

基于气味源的持久性和发散性特点，结合启发式思想和气味质量通量计算，提出了三步气味源确认算法。

It treats odor source localization as a function optimization task.

本算法以单纯形搜索法为理论基础，将味源定位问题看作函数寻优问题。

the ability raising of canine sniffing the odor source

犬嗅认嗅源能力的培养

the alkaline residue treatment unit becomes main odor source of refineries, so it has to be improved.

碱渣处理装置成为炼厂的主要恶臭污染源，亟需处理。

finally, the multiple odor source localization performance of the robots which start at different entrances is validated.

最后验证了从不同入口点分散进入搜索区域时，机器人对多个气味源的搜索定位效果。