Abstract
As an independent building entity on the sea, the ship has a large number of internal electrical equipment and a compact space structure, which is prone to fire. This paper proposes a key technology of virtual dynamic escape of ships based on the fire spread prediction model for research. Taking the 63,500 DWT(Dead Weight Tonnage) tanker cabin as a research entity, the mathematical and physical models of ship fire simulation are established. Through the graphical analysis of the experimental data of the fire spread simulation, the temperature, CO concentration, and smoke concentration change rules under different working conditions at the fixed detection point position are obtained. Then, based on temperature, CO concentration and smoke concentration three impact factors, set up a comprehensive fire real-time situational risk evaluation index system. Using the MATLAB software, based on the principle of the fuzzy neural network fire ship’s integrated real-time situational risk evaluation model structure design and simulation test, obtained the corresponding training to comprehensive risk evaluation model of the network. Generate navigation grid according to the law of fire sprawl, and plan escape path. The traditional A* algorithm is improved, and an example is used to prove that the path-finding result after the improved algorithm is shorter than the path found by the traditional algorithm, which meets the path-finding requirements in a three-dimensional environment.
Highlights
There are a large number of sea freight and passenger ships traveling each year
Bin Wang [9] and others proposed a fire emergency rescue environment simulation based on the Building Information Modeling (BIM) model in 2014 to complete the corresponding path planning
This paper uses fuzzy theory to study escape routes, fuzzy neural networks are mainly used in UAV(Unmanned Aerial Vehicle) and other fields, but there are few studies on fire protection, this article is based on ship fire, using fuzzy neural network to more accurately record the fire source information [14,15]
Summary
There are a large number of sea freight and passenger ships traveling each year. As an independent individual, the ship has a compact internal structure compared to road buildings; the circuit equipment problems are likely to cause fires, and the fire incidence is high. In 2017, Qing Xiong [10] et al studied the dynamic indoor environment evacuation, proposed three dynamic indoor field models for the establishment of the evacuation space model, and combined the real-time dynamic information to simulate the emergency rescue process; Escape path planning is the key to fire escape rescue [11]. The A* algorithm is an effective direct search method for solving the shortest path in a static road network It quickly locks the target direction through the heuristic information contained in the evaluation function. This paper proposes an escape map representation method that dynamically updates the navigation grid based on the comprehensive fire spread situation, and based on this navigation grid map combined with the improved A* pathfinding algorithm, and conduct experimental verification
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 callDisclaimer: 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.
