Multi-platform fire control strike track planning method based on deep enhance learning

Author(s):  
Zhang Lihua ◽  
Wang Miao ◽  
Guo Hangyu ◽  
Yang Tao
Keyword(s):  
CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yunlin Guan ◽  
Yun Wang ◽  
Xuedong Yan ◽  
Haonan Guo ◽  
Yan Huang

2013 ◽  
Vol 133 (10) ◽  
pp. 746-752 ◽  
Author(s):  
Chihaya Murakami ◽  
Aya Fujiwara ◽  
Shinichi Iwamoto

2020 ◽  
Vol 90 ◽  
pp. 74-84
Author(s):  
A. A. Tanygina ◽  
◽  
R. V. Khalikov ◽  

Introduction. The article provides an algorithm for assessing the damage from a fire on the territory of gas compressor stations using a multifactor model of scenarios for the development of a fire. The causes of fires at the facilities of gas compressor stations are analyzed on the basis of statistical data. The established algorithm was verified by calculating the damage from fires, and the most dangerous causes of fires on the territory of gas compressor stations were established by the values of the frequency of emergency ruptures. The purpose of the study is establishing an algorithm for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Research methods. To obtain the results, general scientific and special methods of scientific knowledge were used. These are analysis, generalization, economic analysis, analysis of empirical data, which were based on the general provisions of the theory of analysis and systems analysis. The results of the study. A multivariate analysis of scenarios for the development of fires on the territory of gas compressor stations is carried out. An algorithm is found for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Conclusion. Using the results of the analysis of scenarios of fire development on the territory of gas compressor stations and calculations of indicators of economic damage from fires at these facilities, it is possible to draw up an algorithm for assessing fire damage on the territory of gas compressor stations. Key words: efficiency, analysis, statistics, fire, gas compressor stations, state fire control authorities, damage calculation.


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