In order to study the random and uncertainty factors in task planning of multi-platform sensor optimization, the Hidden Markov Model (HMM) modeling theory and the information entropy theory were used to support the unit loss of the task.The information gain brought by the unit loss of the platform sensor was taken as the target function.The dynamic programming model of the sensor based on the multi-HMM process was established, and the steps of dynamic programming for the multi-sensor task planning problem were set and simulated.At the same time, we also discussed the dynamic scheduling of the multiple sensors in special cases using the multi-HMM process, which lays the foundation for the modeling and analysis of the uncertainty and stochastic factors for the multi-platform sensor scheduling optimization problem.