Open AccessA Modeling and Implementation Framework of Situation Deductive Information
Author(s) -
Hao Ni,
Zhig Zhong,
Jun Li,
Li Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1651/1/012175
Subject(s) - computer science , realization (probability) , battlefield , key (lock) , process (computing) , control (management) , expression (computer science) , deductive method , deductive reasoning , management science , computer security , artificial intelligence , programming language , engineering , mathematics , qualitative research , ancient history , social science , statistics , sociology , history
This paper mainly studies the modeling and implementation framework of deductive information in large-scale situation scenarios. In view of the deficiencies of the current plotting systems in dynamic deduction, we achieve the dynamic modeling of situation information by applying deductive motions to military symbols. And we propose a dynamic adjustment strategy of situation layers. At the same time, through timing control, deduction control and script control, the situation deductive process can meet the actual combat needs, which is convenient for analysis and research. Finally, through practical development, it proves that our deduction method is feasible, and solve the key technology of situation information expression and realization in battlefield situation deduction.