Identifying an odour source in fluid-advected environments, algorithms abstracted frommoth-inspired plume tracing strategies

摘要

This paper presents algorithms for identifying the odour source of a chemical plume with significant filament intermittencyand meander developed in fluid-advected environments. The algorithms are abstracted from moth-inspired chemical plumetracing strategies in two steps. First, we introduce the concept of the last chemical detection points that leads to constructionof a source identification zone and development of two variations in the source identification algorithms. Second, we useMonte Carlo methods to optimise the proposed algorithms in a simulated environment. The evaluation results demonstratethat the optimised algorithm achieves a success rate of over 90% in identifying the source location, the average identificationtime is 3-4 min and the average error is 1-2 m surrounding the source location.