Abstract: The fog of war in modern battlefield information big data generated by the judgment of the battlefield commander had a strong interference, which could increase the difficulty of decision-making. The use of reconnaissance and early warning forces is the beginning of mastering the initiative of the battlefield. Intelligent auxiliary investigation command is to achieve this goal. On the basis of the simulation system field data of a certain operations, through extracting the key information of reconnaissance order, combined with establishing the labels of reconnaissance effect, an auxiliary decision model aimed at reconnaissance and early warning is designed. This model is also trained to achieve the effect of an auxiliary decision at the aspects of reconnaissance and early warning.

Key words: reconnaissance and warning, simulation data, auxiliary decision, model design