In this paper, we focus on the age of information (AoI) aware intelligent architecture of emergency service by caching placement optimization on satellite. Such an intelligent architecture can effectively improve the AoI of users when the cellular network are broken in a disaster area. Unlike the traditional method, our architecture can learn through interaction with the environment, continuously optimizing the cache policy to improve cache hit rate and system performance. Specifically, we first model the emergency service process of the satellite as a Markov process. Then, we apply the advantage actor-critic (A2C) algorithm to obtain the optimal satellite cache strategy. By extensive simulation results, we can verify that the proposed intelligent architecture outperforms the existing traditional methods.