Research on the Construction of Damage Effect Dataset and Data Analysis Based on Wargame Replay Big Data

In recent years, wargame has become an important competition in China. The data research of the MiaoSuan Wargame platform provide powerful data computing support for effective decision-making to commanders, who will face a large number of rapidly updated battlefield situation data per second. In this paper, three kinds of damage effect datasets of direct aiming attack, indirect aiming attack and guided aiming attack have been constructed based on the wargame replay big data and the matching map data, and visual data analysis has been carried out. The correlation between the damage effect and each parameter have been analyzed. Preparing for the model of future machine learning algorithm training, which can provide damage effect prediction analysis for commanders decision-making to improve damage effect and attack efficiency.