The detection assembly used in intelligent minefield can only measure the radial velocity and distance of the target. Therefore the hit probability is not high and more ammunition nodes may repeat attack the same target. To solve the problem, an intelligent decision-making model of minefield is developed. The intelligent decision on target is realized by collaborative detection method, the target track prediction method and the intelligent decision method. By Monte-Carlo method, the hit probability of single ammunition node and amount of bomb consuming are simulated and analyzed. The analysis results show after adopting the intelligent decision-making model the hit probability is increased from more than 62% to more than 85%, and the average amount of bomb consumption is reduced from less than 2. 166 to less than 1. 165. The research results show that adopting the intelligent decision-making model can obviously increase the hit probability and reduce the average bomb consumption.