scholarly journals Research on Risk Evaluation and Dynamic Escape Path Planning Algorithm Based on Real-Time Spread of Ship Comprehensive Fire

2020 ◽  
Vol 8 (8) ◽  
pp. 602
Author(s):  
Jian Ji ◽  
Zhihao Ma ◽  
Jiajun He ◽  
Yingjun Xu ◽  
Zhiqiang Liu
Keyword(s):  
Real Time ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Fire Spread ◽  
Structure Design ◽  
Physical Models ◽  
Path Finding ◽  
Co Concentration ◽  
Escape Path ◽  
Risk Evaluation Model

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.

scholarly journals A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Y. P. Jiang ◽  
C. C. Cao ◽  
X. Mei ◽  
H. Guo
Keyword(s):  
Immune System ◽  
Body Temperature ◽  
Network Security ◽  
Real Time ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Antibody Concentration ◽  
Security Risk ◽  
Network Risk ◽  
Risk Evaluation Model

These days, in allusion to the traditional network security risk evaluation model, which have certain limitations for real-time, accuracy, characterization. This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanism of biological immune system and the imbalance of immune system which can result in body temperature changes, firstly, through ther-contiguous bits nonconstant matching rate algorithm to improve the detection quality of detector and reduce missing rate or false detection rate. Then the dynamic evolution process of the detector was described in detail. And the mechanism of increased antibody concentration, which is made up of activating mature detector and cloning memory detector, is mainly used to assess network risk caused by various species of attacks. Based on these reasons, this paper not only established the equation of antibody concentration increase factor but also put forward the antibody concentration quantitative calculation model. Finally, because the mechanism of antibody concentration change is reasonable and effective, which can effectively reflect the network risk, thus body temperature evaluation model was established in this paper. The simulation results showed that, according to body temperature value, the proposed model has more effective, real time to assess network security risk.

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