Autonomous tracking of chemical plumes developed in both diffusive and turbulent airflow environments using Petri nets
A generalized CPT algorithm under both airflow environments is developed. A PN model is utilized to model the expert knowledge of chemical plumes. 93.8% of source localization rate is achieved under a turbulent airflow environment. 87.5% of source localization rate is achieved under a diffusive airflow environment.
diffusive and turbulent airflow petri nets knowledge chemical plume tracing rule-based system