Abstract
Path selection is one of the critical aspects in emergency evacuation. In a fire scene, how to choose an optimal evacuation path for firefighters is a challenging aspect. In this paper, firstly, a dynamic triangular network model formed by robots is presented. On the basis of this model, directed graph is established in order to calculate direct paths. Then multi-parameter information fusion which includes smoke density, temperature and oxygen density is discussed in detail for environment safety evaluation. Based on the discussions, a new way has been proposed for optimal path selection, taking into consideration the safety-factor of the path. The objectives of the method are to minimize the path lengths, at the same time, to protect firefighters from the dangerous regions. In the end, numerical simulation results prove the feasibility and superiority of this method.
Highlights
In recent years, frequent fire disasters have brought great casualties and huge property loss
The paper is organized as follows: In section II, a dynamic triangular network model formed by multi-robots is established in a fire scene
Since obstacles are surrounded by robots, and every robot could get the information of neighboring environment, it is wise to evacuate along the connection line between the robots
Summary
Frequent fire disasters have brought great casualties and huge property loss. A multi-objective optimization model based genetic algorithm is adopted to solve the proposed evacuation routing problem [6]. [9] proposed a method for establishing smoke density gradient based directed graph and selecting the shortest directed path for firefighters, but did not take the multiple parameter information fusion into account. We establish a new source-destination based directed graph in the dynamic triangular network model. Smoke density, temperature and oxygen density are considered in the information fusion for environment safety evaluation. The paper is organized as follows: In section II, a dynamic triangular network model formed by multi-robots is established in a fire scene.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Artificial Intelligence
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
